A Constrained Semi−supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to object recognition models and matching image features to semantic concepts. In this paper, we show how a wide class of d...
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| Format: | Conference item |
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Springer Berlin Heidelberg
2004
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