Feature selection for classification of variable length multiattribute motions

Chuanjun Li; Latifur Khan; Balakrishnan Prabhakaran

doi:10.1007/978-1-84628-799-2_7

Feature selection for classification of variable length multiattribute motions

Chuanjun Li
, Latifur Khan
, Balakrishnan Prabhakaran

University of Texas at Dallas

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

25 引用（Scopus）

摘要

As a relatively newtype of multimedia, captured motion has its specific properties. The data of motions has multiple attributes to capture movements of multiple joints of a subject, and has different lengths for even similar motions. There are no row-to-row correspondences between data matrices of two motions.

源语言	英语
主期刊名	Multimedia Data Mining and Knowledge Discovery
出版商	Springer London
页	116-137
页数	22
ISBN（印刷版）	1846284368, 9781846284366
DOI	https://doi.org/10.1007/978-1-84628-799-2_7
出版状态	已出版 - 2007
已对外发布	是

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BT - Multimedia Data Mining and Knowledge Discovery

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Feature selection for classification of variable length multiattribute motions

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