Learning block group sparse representation combined with convolutional neural networks for RGB-D object recognition

Journal of Fiber Bioengineering and Informatics

Volumn 7, Issue 4, 2014, Pages 603-613

  Tu, Shuqin ^a   Xue, Yueju ^a   Wang, Jinfeng ^a   Huang, Xiaolin ^a   Zhang, Xiao ^a  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Block group sparse coding; Classification recognition; Convolutional neural networks; Feature learning methods; RGB D

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; GREEN COMPUTING; IMAGE ENHANCEMENT; IMAGE RECOGNITION; LEARNING SYSTEMS; OBJECT RECOGNITION; RECURRENT NEURAL NETWORKS;

BLOCK GROUP; FEATURE LEARNING; FEATURE REPRESENTATION; LOW-LEVEL FEATURES; RECURSIVE NEURAL NETWORKS; RED , GREEN AND BLUES; SPARSE REPRESENTATION; UNSUPERVISED ALGORITHMS;

CONVOLUTIONAL NEURAL NETWORKS;

EID: 84920691110     PISSN: 19408676     EISSN: None     Source Type: Journal    
DOI: 10.3993/jfbi12201413     Document Type: Article

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