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Nonnegative matrix factorization (NMF) is a popular method for learning low-rank approximation of nonnegative matrix. However, aiming at seeking the low-rank approximation from the viewpoint of data reconstruction, NMF may produce unfavorable performances in classification and clustering tasks. In this paper, we develop a novel modification of NMF (called NMFCSJ) by incorporating the similarity judgments...
Single-feature-based image retrieval system of content-based video retrieval system has a lower performance. In this paper, a algorithm of image retrieval based on NMI invariable feature of dominant color and texture feature is proposed. The shape information and the spatial distribution of dominant color can be described by the NMI invariable feature of dominant color. so the content feature of image...
The field of speaker identification has recently seen significant advancement, but improvements have tended to be benchmarked on near-field speech, ignoring the more realistic setting of far-field-instrumented speakers. In this work we present several findings on far-field speech from the MIXER5 Corpus, in the areas of feature extraction, speaker modeling, and multichannel score combination. First,...
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