Fast and balanced: Efficient label tree learning for large scale object recognition

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Deng, Jia ^a,b   Satheesh, Sanjeev ^a   Berg, Alexander C ^c   Li, Fei Fei ^a  

^a Stanford University   (United States)

^b Princeton University   (United States)

^c USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; EFFICIENCY;

BALANCED TREES; FINE-GRAINED CONTROL; IMAGES CLASSIFICATION; LARGE SCALE CLASSIFICATIONS; LARGE-SCALE OBJECTS; LARGE-SCALES; LEARN+; OBJECTS RECOGNITION; TEST ACCURACY; TRADE OFF;

OBJECT RECOGNITION;

EDUCATION; FORESTRY; TREES;

EID: 85162353669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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