Transfer across completely different feature spaces via spectral embedding

IEEE Transactions on Knowledge and Data Engineering

Volumn 25, Issue 4, 2013, Pages 906-918

  Shi, Xiaoxiao ^a   Liu, Qi ^b   Fan, Wei ^c   Yu, Philip S ^a  

^a 1120 Science and Engineering Offices   (United States)

^b TONGJI UNIVERSITY   (China)

^c IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Feature generation; heterogeneous data; transfer learning

Indexed keywords

CLOSED FORM; DATA DISTRIBUTION; ERROR RATE; EXPERIMENT DATA; FEATURE GENERATION; FEATURE SPACE; HETEROGENEOUS DATA; HETEROGENEOUS SOURCES; LABELED DATA; LINEAR PROJECTIONS; NONLINEAR APPROACH; ORIGINAL STRUCTURES; SAMPLE SELECTION; SOURCE DATA; SPECTRAL EMBEDDING; TEXT DATA; TRANSFER LEARNING;

COMPUTATIONAL METHODS; INFORMATION SYSTEMS;

IMAGE CLASSIFICATION;

EID: 84874620627     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2011.252     Document Type: Article

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