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Volumn , Issue , 2014, Pages 1027-1034

Predicting multiple attributes via relative multi-task learning

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; LEARNING SYSTEMS; LEARNING TO RANK; PATTERN RECOGNITION;

EID: 84911369023     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.135     Document Type: Conference Paper
Times cited : (49)

References (25)
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    • Berg, T.L.1    Berg, A.C.2    Shih, J.3
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    • Integrating low-rank and group-sparse structures for robust multi-task learning
    • J. Chen, J. Zhou, and J. Ye. Integrating low-rank and group-sparse structures for robust multi-task learning. In Proc., KDD '11, 2011.
    • (2011) Proc., KDD '11
    • Chen, J.1    Zhou, J.2    Ye, J.3
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    • A dirty model for multiple sparse regression
    • A. Jalali, P. D. Ravikumar, and S. Sanghavi. A dirty model for multiple sparse regression. CoRR, 2011.
    • (2011) CoRR
    • Jalali, A.1    Ravikumar, P.D.2    Sanghavi, S.3
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    • Whittlesearch: Image search with relative attribute feedback
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    • Kovashka, A.1    Parikh, D.2    Grauman, K.3
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    • J. Liu, S. Ji, and J. Ye. Multi-task feature learning via efficient l2, 1-norm minimization, 2009.
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    • Liu, J.1    Ji, S.2    Ye, J.3
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    • Modeling the shape of the scene: A holistic representation of the spatial envelope
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    • A nonparametric hierarchical bayesian framework for information filtering
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    • Nonparametric hierarchical bayes analysis of binomial data via bernstein polynomial priors
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.