Sparse Unsupervised Dimensionality Reduction For Multiple View Data

Publisher:
IEEE-inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Citation:
IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22 (10), pp. 1485 - 1496
Issue Date:
2012-01
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Different kinds of high-dimensional visual features can be extracted from a single image. Images can thus be treated as multiple view data when taking each type of extracted high-dimensional visual feature as a particular understanding of images. In this
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