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  1. Unsupervised Statistical Learning in Vision: Computational Principles, Biological Evidence.Shimon Edelman - unknown
    Unsupervised statistical learning is the standard setting for the development of the only advanced visual system that is both highly sophisticated and versatile, and extensively studied: that of monkeys and humans. In this extended abstract, we invoke philosophical observations, computational arguments, behavioral data and neurobiological findings to explain why computer vision researchers should care about (1) unsupervised learning, (2) statistical inference, and (3) the visual brain. We then outline a neuromorphic approach to structural primitive learning motivated by these considerations, survey (...)
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  • Constraining the Neural Representation of the Visual World.Shimon Edelman - 2002 - Trends in Cognitive Sciences 6 (3):125-131.
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  • Perceiving Causation Via Videomicroscopy.Megan Delehanty - 2007 - Philosophy of Science 74 (5):996-1006.
    Although scientific images have begun to receive significant attention from philosophers, one type of image has thus far been ignored: moving images. As techniques such as live cell imaging and videomicroscopy are becoming increasingly important in many areas of biology, however, this oversight needs to be corrected. Biologists often claim that there are relevant differences between video and static images. Most interesting is the idea that video images allow us to see causal relationships. By identifying the conditions that would be (...)
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  • Analog Representation and the Parts Principle.John Kulvicki - 2015 - Review of Philosophy and Psychology 6 (1):165-180.
    Analog representation is often cast in terms of an engineering distinction between smooth and discrete systems. The engineering notion cuts across interesting representational categories, however, so it is poorly suited to thinking about kinds of representation. This paper suggests that analog representations support a pattern of interaction, specifically open-ended searches for content across levels of abstraction. They support the pattern by sharing a structure with what they represent. Continuous systems that satisfy the engineering notion are exemplars of this kind because (...)
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  • Predication and Cartographic Representation.Michael Rescorla - 2009 - Synthese 169 (1):175 - 200.
    I argue that maps do not feature predication, as analyzed by Frege and Tarski. I take as my foil (Casati and Varzi, Parts and places, 1999), which attributes predication to maps. I argue that the details of Casati and Varzi’s own semantics militate against this attribution. Casati and Varzi emphasize what I call the Absence Intuition: if a marker representing some property (such as mountainous terrain) appears on a map, then absence of that marker from a map coordinate signifies absence (...)
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