Topologically-constrained latent variable models

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 1080-1087

  Urtasun, Raquel ^a   Fleet, David J ^b   Geiger, Andreas ^c   Popović, Jovan ^a   Darrell, Trevor J ^a   Lawrence, Neil D ^d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

^c KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^d UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

PRINCIPAL COMPONENT ANALYSIS; CASE BASED REASONING; LEARNING SYSTEMS;

DIMENSIONALITY REDUCTION; EUCLIDEAN SPACES; GAUSSIAN PROCESSES; HUMAN MOTION DATA; HUMAN MOTION MODELING; LATENT VARIABLE MODELING; LATENT VARIABLE MODELS; NON-EUCLIDEAN; DATA SETS; DIMENSIONALITY REDUCTIONS; GAUSSIAN; HUMAN MOTION DATUM; MOTION STYLES;

MACHINE LEARNING; ROBOT LEARNING;

EID: 56449120866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390292     Document Type: Conference Paper

References (12)

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