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

College of Nanotechnology, Science & Engineering (CNSE), Dean's Office

University at Albany

University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

25 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Multimedia Data Mining and Knowledge Discovery
Publisher	Springer London
Pages	116-137
Number of pages	22
ISBN (Print)	1846284368, 9781846284366
DOIs	https://doi.org/10.1007/978-1-84628-799-2_7
State	Published - 2007

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

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title = "Feature selection for classification of variable length multiattribute motions",

abstract = "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.",

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T1 - Feature selection for classification of variable length multiattribute motions

AU - Li, Chuanjun

AU - Khan, Latifur

AU - Prabhakaran, Balakrishnan

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AB - 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.

UR - https://www.scopus.com/pages/publications/40649108837

U2 - 10.1007/978-1-84628-799-2_7

DO - 10.1007/978-1-84628-799-2_7

M3 - Chapter

SN - 1846284368

SN - 9781846284366

SP - 116

EP - 137

BT - Multimedia Data Mining and Knowledge Discovery

PB - Springer London

ER -

Feature selection for classification of variable length multiattribute motions

Abstract

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