27 found
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  1.  16
    Understanding Covert Recognition.A. Mike Burton, Andrew W. Young, Vicki Bruce, Robert A. Johnston & Andrew W. Ellis - 1991 - Cognition 39 (2):129-166.
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  2.  42
    Recognition of Unfamiliar Faces.Peter J. B. Hancock, Vicki Bruce & A. Mike Burton - 2000 - Trends in Cognitive Sciences 4 (9):330-337.
  3.  22
    Identity From Variation: Representations of Faces Derived From Multiple Instances.A. Mike Burton, Robin S. S. Kramer, Kay L. Ritchie & Rob Jenkins - 2016 - Cognitive Science 40 (1):202-223.
    Research in face recognition has tended to focus on discriminating between individuals, or “telling people apart.” It has recently become clear that it is also necessary to understand how images of the same person can vary, or “telling people together.” Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across different photos (...)
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  4.  21
    From Pixels to People: A Model of Familiar Face Recognition.A. Mike Burton, Vicki Bruce & P. J. B. Hancock - 1999 - Cognitive Science 23 (1):1-31.
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  5.  16
    Are We Face Experts?Andrew W. Young & A. Mike Burton - 2018 - Trends in Cognitive Sciences 22 (2):100-110.
  6.  13
    Attention Capture by Faces.Stephen R. H. Langton, Anna S. Law, A. Mike Burton & Stefan R. Schweinberger - 2008 - Cognition 107 (1):330-342.
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  7.  23
    Verification of Face Identities From Images Captured on Video.Vicki Bruce, Zoë Henderson, Karen Greenwood, Peter J. B. Hancock, A. Mike Burton & Paul Miller - 1999 - Journal of Experimental Psychology: Applied 5 (4):339.
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  8.  16
    Matching Faces to Photographs: Poor Performance in Eyewitness Memory.Ahmed M. Megreya & A. Mike Burton - 2008 - Journal of Experimental Psychology: Applied 14 (4):364-372.
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  9.  7
    Matching Identities of Familiar and Unfamiliar Faces Caught on CCTV Images.Vicki Bruce, Zoë Henderson, Craig Newman & A. Mike Burton - 2001 - Journal of Experimental Psychology: Applied 7 (3):207.
  10.  16
    Viewers Base Estimates of Face Matching Accuracy on Their Own Familiarity: Explaining the Photo-ID Paradox.Kay L. Ritchie, Finlay G. Smith, Rob Jenkins, Markus Bindemann, David White & A. Mike Burton - 2015 - Cognition 141:161-169.
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  11.  43
    Unfamiliar Face Perception.A. Mike Burton & Rob Jenkins - 2011 - In Andy Calder, Gillian Rhodes, Mark Johnson & Jim Haxby (eds.), Oxford Handbook of Face Perception. Oxford University Press. pp. 287--306.
    This article describes some differences between familiar and unfamiliar face processing. It presents the evidence that unfamiliar face recognition is poor. Since this poor performance has implications both practically and theoretically, it is important to establish the facts. The article analyses reasons that people appear to have little insight into their own poor performance with unfamiliar faces, and some sectors of society seem so keen to use faces as a means of proving identity. It reviews some historical research comparing familiar (...)
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  12.  12
    Tolerance for Distorted Faces: Challenges to a Configural Processing Account of Familiar Face Recognition.Adam Sandford & A. Mike Burton - 2014 - Cognition 132 (3):262-268.
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  13.  18
    Viewers Extract Mean and Individual Identity From Sets of Famous Faces.Markus F. Neumann, Stefan R. Schweinberger & A. Mike Burton - 2013 - Cognition 128 (1):56-63.
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  14.  6
    Long-Term Effects of Covert Face Recognition.Rob Jenkins, A. Mike Burton & Andrew W. Ellis - 2002 - Cognition 86 (2):B43-B52.
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  15.  12
    Redesigning Photo-ID to Improve Unfamiliar Face Matching Performance.David White, A. Mike Burton, Rob Jenkins & Richard I. Kemp - 2014 - Journal of Experimental Psychology: Applied 20 (2):166-173.
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  16.  38
    Putting Names to Faces: A Review and Tests of the Models.Derek R. Carson, A. Mike Burton & Vicki Bruce - 2000 - Pragmatics and Cognition 8 (1):9-62.
    It is well established that retrieval of names is harder than the retrieval of other identity specific information. This paper offers a review of the more influential accounts put forward as explanations of why names are so difficult to retrieve. A series of five experiments tests a number of these accounts.Experiments One to Three examine the claims that names are hard to recall because they are typically meaningless, or unique. Participants are shown photographs of unfamiliar people or familiar people and (...)
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  17.  22
    The Role of Color in Human Face Detection.Markus Bindemann & A. Mike Burton - 2009 - Cognitive Science 33 (6):1144-1156.
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  18.  7
    Understanding Facial Impressions Between and Within Identities.Mila Mileva, Andrew W. Young, Robin S. S. Kramer & A. Mike Burton - 2019 - Cognition 190:184-198.
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  19.  22
    Understanding Face Familiarity.Robin S. S. Kramer, Andrew W. Young & A. Mike Burton - 2018 - Cognition 172:46-58.
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  20.  12
    What Makes a Face Photo a ‘Good Likeness’?Kay L. Ritchie, Robin S. S. Kramer & A. Mike Burton - 2018 - Cognition 170:1-8.
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  21.  22
    Unfamiliar Faces: Memory or Coding?Peter J. B. Hancock, Vicki Bruce & A. Mike Burton - 2001 - Trends in Cognitive Sciences 5 (1):9.
  22.  16
    Local Representations Without the Locality Assumption.A. Mike Burton & Vicki Bruce - 1994 - Behavioral and Brain Sciences 17 (1):62-63.
  23.  7
    What We See in Unfamiliar Faces: A Response to Rossion.Andrew W. Young & A. Mike Burton - 2018 - Trends in Cognitive Sciences 22 (6):472-473.
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  24.  12
    Box 1. Principal Components Analysis of Faces.Peter J. B. Hancock, Vicki Bruce & A. Mike Burton - 2000 - Trends in Cognitive Sciences 4 (9):330-337.
  25.  18
    The Many Ways to Distribute Distributed Representations.A. Mike Burton - 2000 - Behavioral and Brain Sciences 23 (4):472-473.
    Distributed representations can be distributed in very many ways. The specific choice of representation for a specific model is based on considerations unique to the area of study. General statements about the effectiveness of distributed models are therefore of little value. The popularity of these models is discussed, particularly with respect to reporting conventions.
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  26. Andrea L. patalano.Rob Jenkins, A. Mike Burton, Andrew W. Ellis, Bart Geurts, Anna Papafragou & Julien Musolino - 2003 - Cognition 86:319-321.
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  27. Robust Social Categorization Emerges From Learning the Identities of Very Few Faces.Robin S. S. Kramer, Andrew W. Young, Matthew G. Day & A. Mike Burton - 2017 - Psychological Review 124 (2):115-129.
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