A sparse object category model for efficient learning and exhaustive recognition

A sparse object category model for efficient learning and exhaustive recognition

We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semi-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter. The model is a sparse repr...

書誌詳細
主要な著者:	Fergus, R, Perona, P, Zisserman, A
フォーマット:	Conference item
言語:	English
出版事項:	IEEE 2005

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