Latent semantic learning with structured sparse representation for human action recognition
نویسندگان
چکیده
منابع مشابه
Latent semantic learning with structured sparse representation for human action recognition
This paper proposes a novel latent semantic learning method for extracting high-level latent semantics from a large vocabulary of abundant mid-level features (i.e. visual keywords) with structured sparse representation, which can help to bridge the semantic gap in the challenging task of human action recognition. To discover the manifold structure of mid-level features, we develop a graph-based...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2013
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2012.09.027