Search results for '*Object Recognition' (try it on Scholar)

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  1.  29
    Glyn W. Humphreys & Emer M. E. Forde (2001). Hierarchies, Similarity, and Interactivity in Object Recognition: “Category-Specific” Neuropsychological Deficits. Behavioral and Brain Sciences 24 (3):453-476.
    Category-specific impairments of object recognition and naming are among the most intriguing disorders in neuropsychology, affecting the retrieval of knowledge about either living or nonliving things. They can give us insight into the nature of our representations of objects: Have we evolved different neural systems for recognizing different categories of object? What kinds of knowledge are important for recognizing particular objects? How does visual similarity within a category influence object recognition and representation? What is the nature of our (...)
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  2.  8
    Irina M. Harris & Paul E. Dux (2005). Orientation-Invariant Object Recognition: Evidence From Repetition Blindness. Cognition 95 (1):73-93.
    The question of whether object recognition is orientation-invariant or orientation-dependent was investigated using a repetition blindness (RB) paradigm. In RB, the second occurrence of a repeated stimulus is less likely to be reported, compared to the occurrence of a different stimulus, if it occurs within a short time of the first presentation. This failure is usually interpreted as a difficulty in assigning two separate episodic tokens to the same visual type. Thus, RB can provide useful information about which (...)
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  3.  19
    Terence V. Sewards & Mark A. Sewards (2002). On the Neural Correlates of Object Recognition Awareness: Relationship to Computational Activities and Activities Mediating Perceptual Awareness. Consciousness and Cognition 11 (1):51-77.
    Based on theoretical considerations of Aurell (1979) and Block (1995), we argue that object recognition awareness is distinct from purely sensory awareness and that the former is mediated by neuronal activities in areas that are separate and distinct from cortical sensory areas. We propose that two of the principal functions of neuronal activities in sensory cortex, which are to provide sensory awareness and to effect the computations that are necessary for object recognition, are dissociated. We provide examples of (...)
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  4.  9
    Javid Sadr & Pawan Sinha (2004). Object Recognition and Random Image Structure Evolution. Cognitive Science 28 (2):259-287.
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  5.  2
    Robert C. Bolles & Daniel E. Bailey (1956). Importance of Object Recognition in Size Constancy. Journal of Experimental Psychology 51 (3):222.
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  6. Michael H. Herzog (2006). The Relationship of Visual Masking and Basic Object Recognition in Healthy Observers and Patients with Schizophrenia. In Gmen, Haluk; Breitmeyer, Bruno G. (2006). The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. (Pp. 259-274). Cambridge, Ma, Us: Mit Press. Xi, 410 Pp.
     
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  7.  47
    Shimon Edelman, Complex Cells and Object Recognition.
    Nearest-neighbor correlation-based similarity computation in the space of outputs of complex-type receptive elds can support robust recognition of 3D objects. Our experiments with four collections of objects resulted in mean recognition rates between 84% and 94%, over a 40 40 range of viewpoints, centered on a stored canonical view and related to it by rotations in depth. This result has interesting implications for the design of a front end to an arti cial object recognition system, and for (...)
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  8.  53
    Jean-Louis Dessalles & Laleh Ghadakpour (2003). Object Recognition is Not Predication. Behavioral and Brain Sciences 26 (3):290-291.
    Predicates involved in language and reasoning are claimed to radically differ from categories applied to objects. Human predicates are the cognitive result of a contrast between perceived objects. Object recognition alone cannot generate such operations as modification and explicit negation. The mechanism studied by Hurford constitutes at best an evolutionary prerequisite of human predication ability.
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  9.  1
    Dave G. Mumby (1999). How Do Animals Solve Object-Recognition Tasks? Behavioral and Brain Sciences 22 (3):461-462.
    This commentary reviews recent evidence that some hippo- campal functions do not depend on perirhinal inputs and discusses how the multiple-process model of recognition may shed interpretive light on previous reports of DNMS reacquisition deficits in pretrained subjects with hippocampal damage. Suggestions are made for determining whether nonhuman subjects solve object-recognition tasks using recollective memory or familiarity judgments.
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  10.  51
    Shimon Edelman, (Object Recognition/Multidimensional Scaling/Computational Model).
    differentiaily rated pairwise similarity when confronted with two pairs of objects, each revolving in a separate window on a computer screen. Subject data were pooled using individually weighted MDS (ref. 11; in all the experiments, the solutions were consistent among subjects). In each trial, the subject had to select among two pairs of shapes the one consisting of the most similar shapes. The subjects were allowed to respond at will; most responded within 10 sec. Proximity (that is, perceived similarity) tables (...)
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  11. Tomaso Poggio & Anya Hurlbert (1994). Observations on Cortical Mechanisms for Object Recognition and Learning. In Christof Koch & J. Davis (eds.), Large-Scale Neuronal Theories of the Brain. MIT Press 153--182.
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  12. Ulrike Pompe (2011). Perception and Cognition: The Analysis of Object Recognition. Mentis.
  13. Martha J. Farah (1990). Visual Agnosia: Disorders of Object Recognition and What They Tell Us About Normal Vision. MIT Press.
  14. William G. Hayward (2003). After the Viewpoint Debate: Where Next in Object Recognition? Trends in Cognitive Sciences 7 (10):425-427.
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  15.  9
    David Whitney & Dennis M. Levi (2011). Visual Crowding: A Fundamental Limit on Conscious Perception and Object Recognition. Trends in Cognitive Sciences 15 (4):160-168.
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  16.  19
    Aude Oliva & Antonio Torralba (2007). The Role of Context in Object Recognition. Trends in Cognitive Sciences 11 (12):520-527.
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  17.  1
    Shimon Ullman (1989). Aligning Pictorial Descriptions: An Approach to Object Recognition. Cognition 32 (3):193-254.
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  18.  21
    Shimon Ullman (2007). Object Recognition and Segmentation by a Fragment-Based Hierarchy. Trends in Cognitive Sciences 11 (2):58-64.
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  19.  13
    James J. DiCarlo & David D. Cox (2007). Untangling Invariant Object Recognition. Trends in Cognitive Sciences 11 (8):333-341.
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  20.  1
    Hadyn D. Ellis (1989). The Distinction Between Object Recognition and Picture Recognition. Behavioral and Brain Sciences 12 (1):81.
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  21.  30
    Dwight J. Kravitz, Latrice D. Vinson & Chris I. Baker (2008). How Position Dependent is Visual Object Recognition? Trends in Cognitive Sciences 12 (3):114-122.
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  22.  10
    Dennis M. Levi David Whitney (2011). Visual Crowding: A Fundamental Limit on Conscious Perception and Object Recognition. Trends in Cognitive Sciences 15 (4):160.
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  23.  30
    Maximilian Riesenhuber (2005). Object Recognition in Cortex: Neural Mechanisms, and Possible Roles for Attention. In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press 279--287.
  24.  6
    Shimon Ullman (1998). Three-Dimensional Object Recognition Based on the Combination of Views. Cognition 67 (1-2):21-44.
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  25.  6
    Michael J. Tarr & Heinrich H. Bülthoff (1998). Image-Based Object Recognition in Man, Monkey and Machine. Cognition 67 (1-2):1-20.
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  26.  10
    Olivia S. Cheung, William G. Hayward & Isabel Gauthier (2009). Dissociating the Effects of Angular Disparity and Image Similarity in Mental Rotation and Object Recognition. Cognition 113 (1):128-133.
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  27.  39
    Shimon Edelman (1997). Computational Theories of Object Recognition. Trends in Cognitive Sciences 1 (8):296-304.
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  28.  10
    Christian Gerlach (2009). Category-Specificity in Visual Object Recognition. Cognition 111 (3):281-301.
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  29.  1
    Michael Tarr (2002). Vision: Object Recognition. In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan
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  30.  6
    Barbara Landau, James E. Hoffman & Nicole Kurz (2006). Object Recognition with Severe Spatial Deficits in Williams Syndrome: Sparing and Breakdown. Cognition 100 (3):483-510.
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  31. Martha J. Farah & Katherine M. Hammond (1988). Mental Rotation and Orientation-Invariant Object Recognition: Dissociable Processes. Cognition 29 (1):29-46.
  32.  4
    J. Tanaka (1999). Object Recognition in Man, Monkey, and Machine Edited by Michael J. Tarr and Heinrich H. Bülthoff. Trends in Cognitive Sciences 3 (10):401.
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  33.  2
    William A. Barnard, Marshall Breeding & Henry A. Cross (1984). Object Recognition as a Function of Stimulus Characteristics. Bulletin of the Psychonomic Society 22 (1):15-18.
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  34. J. E. Hummel (2000). Where View-Based Theories of Human Object Recognition Break Down: The Role of Structure in Human Shape Perception. In Eric Dietrich Art Markman (ed.), Cognitive Dynamics: Conceptual Change in Humans and Machines. Lawrence Erlbaum 157--185.
     
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  35.  2
    Guy Wallis & Heinrich Bülthoff (1999). Review-Box 1. Object Recognition Paradigms. Trends in Cognitive Sciences 3 (1):22-31.
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  36. Roberta L. Klatzky & Susan J. Lederman (1993). Spatial and Nonspatial Avenues to Object Recognition by the Human Haptic System. In Naomi M. Eilan (ed.), Spatial Representation. Cambridge: Blackwell 191--205.
     
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  37.  5
    Carl Senior (2001). Measuring Object Recognition. Trends in Cognitive Sciences 5 (6):232.
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  38.  3
    H. Helbig, M. Graf & M. Kiefer (2004). The Role of Action Affordances in Visual Object Recognition. In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell Publishing 75-76.
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  39.  14
    John Bart Wilburn (1998). A Possible Worlds Model of Object Recognition. Synthese 116 (3):403-438.
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  40.  2
    Martha J. Farah (1994). Specialization Within Visual Object Recognition: Clues From Prosopagnosia and Alexia. In Martha J. Farah & G. Ratcliff (eds.), The Neuropsychology of High-Level Vision. Lawrence Erlbaum 133--146.
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  41.  5
    Lydia Sánchez & Manuel Campos (2011). Object Recognition and Content. Empedocles: European Journal for the Philosophy of Communication 2 (2):207-226.
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  42.  2
    L. Paletta, C. Seifert & G. Fritz (2004). Saccadic Object Recognition by a Markov Decision Process in a Cascaded Framework. In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell Publishing 126-126.
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  43.  1
    Irving Biederman (1989). The Uncertain Case for Cultural Effects in Pictorial Object Recognition. Behavioral and Brain Sciences 12 (1):74.
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  44. A. Archambault, P. Schyns & A. Oliva (1996). Coarse Structure Affects Object Recognition. In Enrique Villanueva (ed.), Perception. Ridgeview 97-97.
     
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  45. Moshe Bar (2005). Top-Down Facilitation of Visual Object Recognition. In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press 140--145.
     
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  46. L. A. A. Doumas & J. E. Hummel (2010). A Computational Account of the Development of the Representations Underlying Object Recognition. Cognitive Science 34:698-712.
     
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  47. Mj Farah & R. Rochlin (1990). Reference Frames and Geometric Primitives in Object Recognition. Bulletin of the Psychonomic Society 28 (6):483-483.
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  48. Glyn W. Humphreys (2008). Thirty Years of Object Recognition. In Pat Rabbitt (ed.), Inside Psychology: A Science Over 50 Years. OUP Oxford
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  49. G. Kovács, Sz Keri & G. Benedek (1996). Object Recognition Based on Surface and Contour Information. In Enrique Villanueva (ed.), Perception. Ridgeview 88-88.
     
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  50. M. Jane Riddoch & Glyn W. Humphreys (2001). Object Recognition. In B. Rapp (ed.), The Handbook of Cognitive Neuropsychology: What Deficits Reveal About the Human Mind. Psychology Press/Taylor & Francis 45--74.
     
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