Semi-supervised adaptive feature analysis and its application for multimedia understanding
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DOI: 10.1007/s11042-017-4990-5
Abstract: Multimedia understanding for high dimensional data is still a challenging work, due to redundant features, noises and insufficient label information it contains. Graph-based semi-supervised feature learning is an effective approach to address this problem. Nevertheless,… read more here.
Keywords: feature; semi supervised; based semi; multimedia understanding ... See more keywords