Results for 'Computer Imaging, Vision, Pattern Recognition and Graphics. '

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  1. Consciousness Inside and Out: Phenomenology, Neuroscience, and the Nature of Experience.Richard Brown (ed.) - 2013 - Dordrecht: Springer Studies in Brain and Mind.
    This volume is product of the third online consciousness conference, held at http:// consciousnessonline. com in February and March 2011. Chapters range over epistemological issues in the science and philosophy of perception, what neuroscience can do to help us solve philosophical issues in the philosophy of mind, what the true nature of black and white vision, pain, auditory, olfactory, or multi-modal experiences are, to higher-order theories of consciousness, synesthesia, among others. Each chapter includes a target article, commentaries, and in most (...)
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  2. Artificial general intelligence through visual pattern recognition: an analysis of the Phaeaco cognitive architecture.Safal Aryal - manuscript
    In the mid-1960s, Soviet computer scientist Mikhail Moiseevich Bongard created sets of visual puzzles where the objective was to spot an easily justifiable difference between two sides of a single image (for instance, white shapes vs black shapes, etc...). The idea was that these puzzles could be used to teach computers the general faculty of abstraction: perhaps by learning to spot the differences between these sorts of images, a computational agent could learn about inference in general. Considered a global (...)
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  3. Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis.Davide Conigliaro, Celine Hudelot, Roberta Ferrario & Daniele Porello - 2017 - In Vittorio Murino, Marco Cristani, Shishir Shah & Silvio Savarese (eds.), Group and Crowd Behavior for Computer Vision, 1st Edition. pp. 297-319.
    In this paper, building on these previous works, we propose to go deeper into the understanding of crowd behavior by proposing an approach which integrates ontologi- cal models of crowd behavior and dedicated computer vision algorithms, with the aim of recognizing some targeted complex events happening in the playground from the observation of the spectator crowd behavior. In order to do that, we first propose an ontology encoding available knowledge on spectator crowd behavior, built as a spe- cialization of (...)
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  4. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems.Owen C. King - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 265-282.
    Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which (...)
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  5. Neural Computation of Surface Border Ownership and Relative Surface Depth from Ambiguous Contrast Inputs.Birgitta Dresp-Langley & Stephen Grossberg - 2016 - Frontiers in Psychology 7.
    The segregation of image parts into foreground and background is an important aspect of the neural computation of 3D scene perception. To achieve such segregation, the brain needs information about border ownership; that is, the belongingness of a contour to a specific surface represented in the image. This article presents psychophysical data derived from 3D percepts of figure and ground that were generated by presenting 2D images composed of spatially disjoint shapes that pointed inward or outward relative to the continuous (...)
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  6. Consistency Maintenance of Group/Ungroup Operations in Object-based Collaborative Graphical Editing Systems.Liping Gao & Fangyu Yu - 2015 - International Journal of Signal Processing, Image Processing and Pattern Recognition 8.
    In real-time collaborative graphical editing systems, Object-based Group/Ungroup operations are frequently accessible and practically useful. However, the existing research on these operations of the graphical editing is rare and defective. In this paper, based on Multi-Version strategy and Address Space Transformation method, a new MVSDR algorithm, which is not only applied to simple operations (such as Create, Delete, ChangeATT, etc.), but also suitable for Group/Ungroup ones, is proposed to solve the consistency maintenance problem. The proposed algorithm abandons previous attempts to (...)
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  7. Real-Time Emotion Recognition System using Facial Expressions and Soft Computing methodologies.S. Arun Inigo, Rajesh Kumar V. & Ashok Ram P. - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):1-14.
    Facial Expression conveys non-verbal cues, which plays an important role in interpersonal relations. The Cognitive Emotion AI system is the process of identifying the emotional state of a person. The main aim of our study is to develop a robust system which can detect as well as recognize human emotion from live feed. There are some emotions which are universal to all human beings like angry, sad, happy, surprise, fear, disgust and neutral. The methodology of this system is based on (...)
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  8. A Quantum Computer in a 'Chinese Room'.Vasil Penchev - 2020 - Mechanical Engineering eJournal (Elsevier: SSRN) 3 (155):1-8.
    Pattern recognition is represented as the limit, to which an infinite Turing process converges. A Turing machine, in which the bits are substituted with qubits, is introduced. That quantum Turing machine can recognize two complementary patterns in any data. That ability of universal pattern recognition is interpreted as an intellect featuring any quantum computer. The property is valid only within a quantum computer: To utilize it, the observer should be sited inside it. Being outside (...)
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  9. Assyrian Merchants meet Nuclear Physicists: History of the Early Contributions from Social Sciences to Computer Science. The Case of Automatic Pattern Detection in Graphs (1950s-1970s).Sébastien Plutniak - 2021 - Interdisciplinary Science Reviews 46 (4):547-568.
    Community detection is a major issue in network analysis. This paper combines a socio-historical approach with an experimental reconstruction of programs to investigate the early automation of clique detection algorithms, which remains one of the unsolved NP-complete problems today. The research led by the archaeologist Jean-Claude Gardin from the 1950s on non-numerical information and graph analysis is retraced to demonstrate the early contributions of social sciences and humanities. The limited recognition and reception of Gardin's innovative computer application to (...)
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  10. Identification of Babbitt Damage and Excessive Clearance in Journal Bearings through an Intelligent Recognition Approach.Joel Pino Gómez, Fidel Ernesto Hernández Montero, Julio César Gómez Mancilla & Yenny Villuendas Rey - 2021 - International Journal of Advanced Computer Science and Applications 12 (4):526-533.
    Journal bearings play an important role on many rotating machines placed on industrial environments, especially in steam turbines of thermoelectric power plants. Babbitt damage (BD) and excessive clearance (C) are usual faults of steam turbine journal bearings. This paper is focused on achieving an effective identification of these faults through an intelligent recognition approach. The work was carried out through the processing of real data obtained from an industrial environment. In this work, a feature selection procedure was applied in (...)
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  11. Game-Theoretic Robustness in Cooperation and Prejudice Reduction: A Graphic Measure.Patrick Grim - 2006 - In Luis M. Rocha, Larry S. Yaeger, Mark A. Bedau, Dario Floreano & Robert L. Goldstine (eds.), Artificial Life X: Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems. MIT Press. pp. 445-451.
    Talk of ‘robustness’ remains vague, despite the fact that it is clearly an important parameter in evaluating models in general and game-theoretic results in particular. Here we want to make it a bit less vague by offering a graphic measure for a particular kind of robustness— ‘matrix robustness’— using a three dimensional display of the universe of 2 x 2 game theory. In a display of this form, familiar games such as the Prisoner’s Dilemma, Stag Hunt, Chicken and Deadlock appear (...)
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  12. The quantization error in a Self-Organizing Map as a contrast and color specific indicator of single-pixel change in large random patterns.Birgitta Dresp-Langley - 2019 - Neural Networks 120:116-128..
    The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation time, highly meaningful changes across images in medical time series and in time series of satellite images. Here, the functional properties of the quantization error in SOM are explored further to show that the metric is capable of reliably discriminating between the finest differences in local contrast intensities and contrast signs. While this capability of the QE is (...)
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  13. Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm.Tosin Ige - 2022 - International Journal of Advanced Computer Science and Applications 13 (5):1 - 4.
    Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest (...)
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  14. Cleopatra – a Queen, a Lover, a Mother: Transformations of the Image.Lidia Wiśniewska - 2012 - Argument: Biannual Philosophical Journal 2 (1):151-170.
    Transformations are not only conditioned by facts encompassing narrower or wider panoramas: from concentrating on death and one (political) role (the ode of Horace), through recalling Cleopatra’s mature life and love (the drama of Shakespeare), to creating an image embracing the heroine’s whole life with its numerous roles, but as a mother and a daughter in the first place, because even her lovers resemble a father and a child (the fictional biography of Karen Essex). Above all, they appear to be (...)
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  15. Concrete Images for Abstract Questions: A Philosophical View.John T. Sanders - manuscript
    While I strongly agree with Patrick Grim that abstract relationships are real, and that it is possible to get them right, the danger that we will get them wrong is just as real. The use of visual representation of abstract phenomena, precisely because of our predilection to see patterns in everything and because we don't have to think so hard about visible representations generally, may lead us to see things that aren't there.
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  16. Computing with causal theories.Erkan Tin & Varol Akman - 1992 - International Journal of Pattern Recognition and Artificial Intelligence 6 (4):699-730.
    Formalizing commonsense knowledge for reasoning about time has long been a central issue in AI. It has been recognized that the existing formalisms do not provide satisfactory solutions to some fundamental problems, viz. the frame problem. Moreover, it has turned out that the inferences drawn do not always coincide with those one had intended when one wrote the axioms. These issues call for a well-defined formalism and useful computational utilities for reasoning about time and change. Yoav Shoham of Stanford University (...)
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  17. Adversarial Attacks on Image Generation With Made-Up Words.Raphaël Millière - manuscript
    Text-guided image generation models can be prompted to generate images using nonce words adversarially designed to robustly evoke specific visual concepts. Two approaches for such generation are introduced: macaronic prompting, which involves designing cryptic hybrid words by concatenating subword units from different languages; and evocative prompting, which involves designing nonce words whose broad morphological features are similar enough to that of existing words to trigger robust visual associations. The two methods can also be combined to generate images associated with more (...)
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  18. A New Similarity Measure Based on Falsity Value between Single Valued Neutrosophic Sets Based on the Centroid Points of Transformed Single Valued Neutrosophic Values with Applications to Pattern Recognition.Mehmet Sahin, Necati Olgun, Vakkas Ulucay, Abdullah Kargin & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 15:31-48.
    In this paper, we propose some transfor mations based on the centroid points between single valued neutrosophic numbers. We introduce these trans formations according to truth, indeterminacy and falsity value of single valued neutrosophic numbers. We propose a new similarity measure based on falsity value between single valued neutrosophic sets. Then we prove some properties on new similarity measure based on falsity value between falsity value between single valued neutrosophic sets. Furthermore, we propose similarity measure based on falsity value between (...)
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  19. Pictorial Syntax.Kevin J. Lande - forthcoming - Mind and Language.
    It is commonly assumed that images, whether in the world or in the head, do not have a privileged analysis into constituent parts. They are thought to lack the sort of syntactic structure necessary for representing complex contents and entering into sophisticated patterns of inference. I reject this assumption. “Image grammars” are models in computer vision that articulate systematic principles governing the form and content of images. These models are empirically credible and can be construed as literal grammars for (...)
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  20. Modelling Argument Recognition and Reconstruction.Joel Katzav & Chris Reed - 2008 - Journal of Pragmatics 40:155-172..
    A growing body of recent work in informal logic investigates the process of argumentation. Among other things, this work focuses on the ways in which individuals attempt to understand written or verbalised arguments in light of the fact that these are often presented in forms that are incomplete and unmarked. One of its aims is to develop general procedures for natural language argument recognition and reconstruction. Our aim here is to draw on this growing body of knowledge in informal (...)
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  21. Classification of Real and Fake Human Faces Using Deep Learning.Fatima Maher Salman & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):1-14.
    Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. (...)
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  22. Objectification and vision: how images shape our early visual processes.Alice Roberts - 2021 - Synthese 32 (1-2).
    Objectification involves treating someone as a thing. The role of images in perpetuating objectification has been discussed by feminist philosophers. However, the precise effect that images have on an individual's visual system is seldom explored. Kathleen Stock’s work is an exception—she describes certain images of women as causing viewers to develop an objectifying ‘gestalt’ which is then projected onto real-life women. However, she doesn’t specify the level of visual processing at which objectification occurs. In this paper, I propose that images (...)
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  23. Supervenience and computational explanation in vision theory.Peter Morton - 1993 - Philosophy of Science 60 (1):86-99.
    According to Marr's theory of vision, computational processes of early vision rely for their success on certain "natural constraints" in the physical environment. I examine the implications of this feature of Marr's theory for the question whether psychological states supervene on neural states. It is reasonable to hold that Marr's theory is nonindividualistic in that, given the role of natural constraints, distinct computational theories of the same neural processes may be justified in different environments. But to avoid trivializing computational explanations, (...)
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  24. Pattern and chaos: New images in the semantics of paradox.Gary Mar & Patrick Grim - 1991 - Noûs 25 (5):659-693.
    Given certain standard assumptions-that particular sentences are meaningful, for example, and do genuinely self-attribute their own falsity-the paradoxes appear to show intriguing patterns of generally unstable semantic behavior. In what follows we want to concentrate on those patterns themselves: the pattern of the Liar, for example, which if assumed either true or false appears to oscillate endlessly between truth and falsehood.
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  25. State of the Art of Audio- and Video-Based Solutions for AAL.Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Perez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurđardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Perez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigríđur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu & Andrej Zgank - 2022 - Alicante: University of Alicante.
    It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred (...)
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  26. Interaction and resistance: The recognition of intentions in new human-computer interaction.Vincent C. Müller - 2011 - In Anna Esposito, Antonietta M. Esposito, Raffaele Martone, Vincent C. Müller & Gaetano Scarpetta (eds.), Towards autonomous, adaptive, and context-aware multimodal interfaces: Theoretical and practical issues. Springer. pp. 1-7.
    Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, and I suggest these are (...)
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  27. Vision, Image and Symbol.Fabio Fossa - 2015 - Aisthesis: Pratiche, Linguaggi E Saperi Dell’Estetico 8 (2):165-174.
    During the Fifties and the Early Sixties Hans Jonas developed a theory of man based on a series of concepts as separation of form from matter, image and symbol. By reflecting on these themes, Jonas seems to refer to the aesthetic abilities man embodies as the essence of human life. In this article I try to analyse Jonas’ thoughts on man and to determine to what extent it is possible to consider his theory as an aesthetic anthropology. Eventually, I discuss (...)
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  28. Image-dependent interaction of imagery and vision.David Kirsh, Tm Rebotier & L. McDonough - 2003 - American Journal of Psychology:343-366.
    The influence of imagery on perception depends on the content of the mental image. Sixty-three students responded to the location of the 2 hands of a clock while visualizing the correct or an incorrect clock. Reaction time was shorter with valid cueing. Could this have resulted from visual acquisition strategies such as planning visual saccades or shifting covert attention? No. in this study, a crucial control condition made participants look at rather than visualize the cue. Acquisition strategies should have affected (...)
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  29. Computer, Graphic, and Traditional Systems: A Theoretical Study of Music Notation.Richard Wood Massi - 1993 - Dissertation, University of California, San Diego
    This study examines problems related to the representation of music. It constructs the sender/message/perceiver/result model, a prototype broad enough to incorporate a large variety of music and other notation systems, including those having to do with computers. The work defines music notation itself, describes various models for studying the subject--including the binary types prescriptive/descriptive, and symbolic/iconic--and assesses music notation as a contemporary practice. It encompasses a review of the actions and intentions of composers, performers, and audiences, and a consideration of (...)
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  30. THE SPECTACLE OF REFLECTION: ON DREAMS, NEURAL NETWORKS AND THE VISUAL NATURE OF THOUGHT.Magdalena Szalewicz - manuscript
    The article considers the problem of images and the role they play in our reflection turning to evidence provided by two seemingly very distant theories of mind together with two sorts of corresponding visions: dreams as analyzed by Freud who claimed that they are pictures of our thoughts, and their mechanical counterparts produced by neural networks designed for object recognition and classification. Freud’s theory of dreams has largely been ignored by philosophers interested in cognition, most of whom focused solely (...)
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  31. Age and Gender Classification Using Deep Learning - VGG16.Aysha I. Mansour & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):50-59.
    Abstract: Age and gender classification has been around for a long time, and efforts are still being made to improve the findings. This has been the case since the inception of social media platforms. Visible understanding has become more important in the computer vision society with the emergence of AI increase in performance and help train a model to achieve age and gender classification. Although these networks built for the mobile platform are not always as accurate as the larger, (...)
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  32.  31
    3D-visualization of macromolecules in bioinformatics: epistemological aspect.Mikhail Voloshin - 2021 - Култура 30 (4):12-35.
    Bioinformatics scientists often describe their own scientific activities as the practice of working with large amounts of data using computing devices. An essential part of their self-identification is also the development of ways to visually represent the results of this work. Some of these methods are aimed at building convenient representations of data and demonstrating patterns present in them (graphics, diagrams, graphs). Others are ways of visualizing objects that are not directly accessible to human perception (microphotography, X-ray). Both the construction (...)
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  33. That Does Not Compute: David Lewis on Credence and Chance.Gordon Belot - forthcoming - Philosophy of Science.
    Like Lewis, many philosophers hold reductionist accounts of chance (on which claims about chance are to be understood as claims that certain patterns of events are instantiated) and maintain that rationality requires that credence should defer to chance (in the sense that under certain circumstances one's credence in an event must coincide with the chance of that event). It is a shortcoming of an account of chance if it implies that this norm of rationality is unsatisfiable by computable agents. This (...)
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  34. Form, Qualia and Time: The Hard Problem Reformed.Stephen E. Robbins - 2013 - Mind and Matter 2:153-181.
    The hard problem – focusing essentially on vision here – is in fact the problem of the origin of our image of the external world. This formulation in terms of the “image” is never seen stated, for the forms populating our image of the world are considered computable, and not considered qualia – the “redness” of the cube is the problem, not the cube as form. Form, however, cannot be divorced from motion and hence from time. Therefore we must examine (...)
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  35. Training the Pupilary Vision: Didactic Image, Slides, and Film in the Context of Media of the Late 19th Century.Lucie Česálková - 2011 - Teorie Vědy / Theory of Science 33 (2):251-269.
    The study examines the modes of representation and communication of information through illustrative teaching aids in the 19th century. It focuses primarily on the didactic wall paintings and the tradition of lectures with slides and notes, how could the experience of these types of collectively observed images influence impressions and expectations of early film audiences. Didactic images are here analyzed primarily in terms of their compositional features, but in an effort to explain how processuality penetrated into the didactic image of (...)
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  36.  53
    Challenges of AI for Promoting Sikhism in the 21st Century (Guest Editorial).Devinder Pal Singh - 2023 - The Sikh Review, Kolkata, WB, India 71 (09):6-8.
    Artificial Intelligence (AI) is a technology that enables machines or computer systems to perform tasks that usually require human intelligence. AI systems can understand and interpret information, make decisions, and solve problems based on patterns and data. They can also improve their performance over time by learning from their experiences. AI is used in various applications, such as enhancing knowledge and understanding, helping as voice assistants, aiding in image recognition, facilitating self-driving cars, and helping diagnose diseases. The appropriate (...)
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  37.  61
    The SignalGlyph Project and Prime Numbers.Michael Joseph Winkler - 2021 - In The Image of Language. Northeast, NY: Artists Books Editions. pp. 158-163.
    An excerpt of "The SignalGlyph Project and Prime Numbers" (a chapter of the book THE IMAGE OF LANGUAGE) that attempts to illustrate how dimensional limitations of mathematical language have obscured recognition of the system of patterning in the distribution of prime numbers.
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  38. Between the ideal and the reality: The human body through the eyes of European artists.Janusz WAŁEK - 2015 - Argument: Biannual Philosophical Journal 5 (1):87-98.
    The human body has always been one of the most important subjects for European artists. But the way it is displayed in art has varied in different epochs. In ancient Greece, a canon was constituted that proclaimed an ideal vision of the body, derived from the rules governing the universe. This idealization of the human body, neglected in the Middle Ages, was re‑established in Renaissance and Classicist art. However, Renaissance artists also created another image of the human body by borrowing (...)
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  39.  85
    Three Patterns to Support Empathy in Computer-Mediated Human Interaction.Michael Lyons & Daniel Kluender - 2020 - arXiv 2011:1-6.
    We present three patterns for computer-mediated interaction which we discovered during the design and development of a platform for remote teaching and learning of kanji, the Chinese characters used in written Japanese. Our aim in developing this system was to provide a basis for embodiment in remote interaction, and in particular to support the experience of empathy by both teacher and student. From this study, the essential elements are abstracted and suggested as design patterns for other computer-mediated interaction (...)
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  40. Ideal observers, real observers, and the return of Elvis.Ronald A. Rensink - 1996 - In David Knill & Whitman Richards (eds.), Perception as Bayesian Inference. Cambridge University Press. pp. 451-455.
    Knill, Kersten, & Mamassian (Chapter 6) provide an interesting discussion of how the Bayesian formulation can be used to help investigate human vision. In their view, computational theories can be based on an ideal observer that uses Bayesian inference to make optimal use of available information. Four factors are important here: the image information used, the output structures estimated, the priors assumed (i.e., knowledge about the structure of the world), and the likelihood function used (i.e., knowledge about the projection of (...)
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  41. Vision, Action, and Make‐Perceive.Robert Eamon Briscoe - 2008 - Mind and Language 23 (4):457-497.
    In this paper, I critically assess the enactive account of visual perception recently defended by Alva Noë (2004). I argue inter alia that the enactive account falsely identifies an object’s apparent shape with its 2D perspectival shape; that it mistakenly assimilates visual shape perception and volumetric object recognition; and that it seriously misrepresents the constitutive role of bodily action in visual awareness. I argue further that noticing an object’s perspectival shape involves a hybrid experience combining both perceptual and imaginative (...)
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  42. Analogy, Mind, and Life.Vitor Manuel Dinis Pereira - 2015 - In Quoc Nam Tran & Hamid Arabnia (eds.), Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology. Elsevier. pp. 377–388.
    I'll show that the kind of analogy between life and information [argued for by authors such as Davies (2000), Walker and Davies (2013), Dyson (1979), Gleick (2011), Kurzweil (2012), Ward (2009)] – that seems to be central to the effect that artificial mind may represent an expected advance in the life evolution in the Universe – is like the design argument, and that if the design argument is unfounded and invalid, the argument to the effect that artificial mind may represent (...)
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  43. Mechanisms and Model-Based Functional Magnetic Resonance Imaging.Mark Povich - 2015 - Philosophy of Science 82 (5):1035-1046.
    Mechanistic explanations satisfy widely held norms of explanation: the ability to manipulate and answer counterfactual questions about the explanandum phenomenon. A currently debated issue is whether any nonmechanistic explanations can satisfy these explanatory norms. Weiskopf argues that the models of object recognition and categorization, JIM, SUSTAIN, and ALCOVE, are not mechanistic yet satisfy these norms of explanation. In this article I argue that these models are mechanism sketches. My argument applies recent research using model-based functional magnetic resonance imaging, a (...)
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  44. CRITIQUE OF IMPURE REASON: Horizons of Possibility and Meaning.Steven James Bartlett - 2021 - Salem, USA: Studies in Theory and Behavior.
    PLEASE NOTE: This is the corrected 2nd eBook edition, 2021. ●●●●● _Critique of Impure Reason_ has now also been published in a printed edition. To reduce the otherwise high price of this scholarly, technical book of nearly 900 pages and make it more widely available beyond university libraries to individual readers, the non-profit publisher and the author have agreed to issue the printed edition at cost. ●●●●● The printed edition was released on September 1, 2021 and is now available through (...)
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  45. Vision, knowledge, and assertion.John Turri - 2016 - Consciousness and Cognition 41:41-49.
    I report two experiments studying the relationship among explicit judgments about what people see, know, and should assert. When an object of interest was surrounded by visibly similar items, it diminished people’s willingness to judge that an agent sees, knows, and should tell others that it is present. This supports the claim, made by many philosophers, that inhabiting a misleading environment intuitively decreases our willingness to attribute perception and knowledge. However, contrary to stronger claims made by some philosophers, inhabiting a (...)
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  46. A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers.Lorna Green - manuscript
    June 2022 A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers We are in a unique moment of our history unlike any previous moment ever. Virtually all human economies are based on the destruction of the Earth, and we are now at a place in our history where we can foresee if we continue on as we are, our own extinction. As I write, the planet is in deep trouble, heat, fires, great storms, and record flooding, (...)
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    Why Do I Say ‘Image’ When Discussing Vision? Or - Can We Ever See a Chair in its Totality?Ayad Gharbawi - manuscript
    1. Our 'vision' of our surroundings is minimal as to the richness of what is out there. That is because our eyes and optical faculties are severely limited in seeing a semblance of that reality. -/- 2. When speaking of 'reality', there are numberless levels of that subject matter. There is the reality of what each organism sees. There is the reality of the different conditions a perceiving person is in, for example, what is the speed the observing agent watching (...)
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  48. Online Misinformation and “Phantom Patterns”: Epistemic Exploitation in the Era of Big Data.Megan Fritts & Frank Cabrera - 2021 - Southern Journal of Philosophy 60 (1):57-87.
    In this paper, we examine how the availability of massive quantities of data i.e., the “Big Data” phenomenon, contributes to the creation, spread, and harms of online misinformation. Specifically, we argue that a factor in the problem of online misinformation is the evolved human instinct to recognize patterns. While the pattern-recognition instinct is a crucial evolutionary adaptation, we argue that in the age of Big Data, these capacities have, unfortunately, rendered us vulnerable. Given the ways in which online (...)
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    Evaluation of the Image Quality of Ultra-Low-Dose Paranasal Sinus Computed Tomography Scans.Melih Akşamoğlu & Mehmet Sait Menzilcioğlu - 2023 - European Journal of Therapeutics 29 (2):143-148.
    Objective: We aimed to investigate the image quality of paranasal sinus computed tomography (CT) scans obtained with the “Advanced intelligent Clear-IQ Engine” (AICE) software and ultra-low dose parameters in patients with prediagnosed rhinitis, sinusitis or nasal septum deviation. -/- Methods: The first 50 patients (31 men and 19 women, aged 18-70 years) who agreed to participate in our prospectively planned study were included in the study. Imaging of the patients was performed with a 160-slice multidetector CT device Canon Aquilion Prime (...)
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  50. New Development of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, and Neutrosophic Plithogenic Optimizations.Florentin Smarandache & Yanhui Guo - 2022 - Basel, Switzerland: MDPI.
    This volume presents state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, and (...)
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