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» Embedded Unsupervised Feature Selection

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ICCV
2003
IEEE

131views Computer Vision» more ICCV 2003»

Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach

14 years 6 months ago

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The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...

Lior Wolf, Amnon Shashua

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AAAI
2010

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Efficient Spectral Feature Selection with Minimum Redundancy

13 years 6 months ago

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Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...

Zheng Zhao, Lei Wang, Huan Liu

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CVPR
2006
IEEE

257views Computer Vision» more CVPR 2006»

Unsupervised Learning of Categories from Sets of Partially Matching Image Features

14 years 7 months ago

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We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...

Kristen Grauman, Trevor Darrell

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PAMI
2002

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Unsupervised Feature Selection Using Feature Similarity

13 years 4 months ago