Weakly Supervised Hand Pose Recovery with Domain Adaptation by Low-Rank Alignment

IEEE International Conference on Data Mining Workshops, ICDMW

Volumn 0, Issue , 2016, Pages 446-453

  Hong, Chaoqun ^b   Yu, Jun ^c   Xie, Rongsheng ^a   Tao, Dapeng ^a  

^a XIAMEN UNIVERSITY OF TECHNOLOGY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

^c YUNNAN UNIVERSITY   (China)

Author keywords

Domain adaptation; Human hand pose recovery; Low rank representation; Neural network

Indexed keywords

COMPUTER SYSTEM RECOVERY; DATA MINING; DEEP LEARNING; MAPPING; NEURAL NETWORKS; RECOVERY;

AUTOENCODERS; BENCHMARK DATASETS; DOMAIN ADAPTATION; FEATURE SPACE; HUMAN HANDS; LOW-RANK REPRESENTATIONS; NONLINEAR MAPPINGS; TESTING SAMPLES;

IMAGE PROCESSING;

EID: 85015157074     PISSN: 23759232     EISSN: 23759259     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2016.0070     Document Type: Conference Paper

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