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Learning to recognize objects
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AI
DOI：10.1016/S1364-6613(98)01261-3.png)
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摘要
En 中文
Evidence from neurophysiological and psychological studies is coming together to shed light on how we represent and recognize objects. this review describes evidence supporting two major hypotheses: the first is that objects are represented in a mosaic-like form in which objects are encoded by combinations of complex, reusable features. rather than two-dimensional templates, or three-dimensional models. the second hypothesis is that transform-invariant representations of objects are learnt through experience, and that this learning is affected by the temporal sequence in which different views of the objects are seen, as well as by their physical appearance.
Keyword:
SUPERIOR TEMPORAL SULCUS
INFEROTEMPORAL CORTEX
VISUAL-PERCEPTION
FACE RECOGNITION
ORIENTATION-DEPENDENCE
3-DIMENSIONAL OBJECTS
SHAPE
NEURONS
REPRESENTATION
ORGANIZATION
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期刊
IF:
17.2
论文数:
3.6K
被引数:
3.5W
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