Inexpensive user tracking using boltzmann machines

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2014-January, Issue January, 2014, Pages 1-6

  Mocanu, Elena ^a   Mocanu, Decebal Constantin ^a   Ammar, Haitham Bou ^b   Zivkovic, Zoran ^c   Liotta, Antonio ^a   Smirnov, Evgueni ^d  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c NXP SEMICONDUCTORS   (Netherlands)

^d MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; ARTIFICIAL INTELLIGENCE; CYBERNETICS; ENERGY CONSERVATION; LEARNING SYSTEMS; PROBLEM SOLVING;

BOLTZMANN MACHINES; CLASSIFICATION SCHEME; CONDITIONAL RESTRICTED BOLTZMANN MACHINES; CURRENT TECHNOLOGY; EFFECTIVENESS AND EFFICIENCIES; GAUSSIAN MIXTURE MODEL; HIGH LEVEL OF ABSTRACTION; INTEGRATED SENSOR TECHNOLOGY;

LEARNING ALGORITHMS;

EID: 84938066903     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMC.2014.6973875     Document Type: Conference Paper

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