Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation

30th International Conference on Machine Learning, ICML 2013

Volumn , Issue PART 1, 2013, Pages 222-230

  Gong, Boqing ^a   Grauman, Kristen ^b   Sha, Fei ^a  

^a Department of Computer Science University of Southern California ^*  (United States)

^b University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

BENCHMARK DATASETS; DOMAIN ADAPTATION; INVARIANT FEATURES; LABELED DATA; SENTIMENT ANALYSIS; TARGET DOMAIN; VISUAL OBJECT RECOGNITION;

LEARNING SYSTEMS;

EID: 84897476317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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