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Irving Biederman
University of Southern California
253Publications
47H-index
15.4kCitations
Publications 254
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#1Eshed Margalit (SC: University of Southern California)H-Index: 3
#2Sarah B. Herald (SC: University of Southern California)H-Index: 4
Last.Irving Biederman (SC: University of Southern California)H-Index: 47
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In 1968, Guzman showed that the myriad of surfaces composing a highly complex and novel assemblage of volumes can readily be assigned to their appropriate volumes in terms of the constraints offered by the vertices of coterminating edges. Of particular importance was the L-vertex, produced by the cotermination of two contours, which provides strong evidence for the termination of a 2-D surface. An X-junction, formed by the crossing of two contours without a change of direction at the crossing, p...
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#1Irving Biederman (SC: University of Southern California)H-Index: 47
#2Tianyi Zhu (SC: University of Southern California)
Last.Catrina M. Hacker (SC: University of Southern California)H-Index: 1
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#1Rafael Maarek (SC: University of Southern California)H-Index: 1
#2Emily Meschke (SC: University of Southern California)H-Index: 1
Last.Irving Biederman (SC: University of Southern California)H-Index: 47
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#1Catrina M. Hacker (SC: University of Southern California)H-Index: 1
#2Irving Biederman (SC: University of Southern California)H-Index: 47
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#1Emily Meschke (SC: University of Southern California)H-Index: 1
#2Irving Biederman (SC: University of Southern California)H-Index: 47
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#1Catrina M. Hacker (SC: University of Southern California)H-Index: 1
#2Emily Meschke (SC: University of Southern California)H-Index: 1
Last.Irving Biederman (SC: University of Southern California)H-Index: 47
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Abstract Familiar objects, specified by name, can be identified with high accuracy when embedded in a rapidly presented sequence of images at rates exceeding 10 images/s. Not only can target objects be detected at such brief presentation rates, they can also be detected under high uncertainty, where their classification is defined negatively, e.g., “Not a Tool.” The identification of a familiar speaker’s voice declines precipitously when uncertainty is increased from one to a mere handful of pos...
1 CitationsSource
#1Jessie J. Peissig (CSUF: California State University, Fullerton)H-Index: 12
#2Michael E. Young (KSU: Kansas State University)H-Index: 33
Last.Irving Biederman (SC: University of Southern California)H-Index: 47
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Abstract We explored the pigeon’s representation of the shape of simple three-dimensional objects (geons) rotated in depth (four views each of four geons). Pigeons assigned to the Categorization group had to respond differentially to images of four different geons—termed arch, barrel, brick, and wedge—based on their 3D shape, regardless of the orientation of the object. Pigeons assigned to the Pseudocategorization group had to respond differentially to the same objects based on groupings that di...
1 CitationsSource
#1Irving Biederman (SC: University of Southern California)H-Index: 47
#2Emily Meschke (SC: University of Southern California)H-Index: 1
Last.Sarah B. Herald (Dartmouth College)H-Index: 4
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#1Emily Meschke (SC: University of Southern California)H-Index: 1
#2Catrina M. Hacker (SC: University of Southern California)H-Index: 1
Last.Irving Biederman (SC: University of Southern California)H-Index: 47
view all 3 authors...
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#1Tianyi Zhu (SC: University of Southern California)
#2Miles Nelken (SC: University of Southern California)
Last.Irving Biederman (SC: University of Southern California)H-Index: 47
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