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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 4 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
INTERSPEECH
2010
13 years 1 months ago
Towards a robust face recognition system using compressive sensing
An application of compressive sensing (CS) theory in imagebased robust face recognition is considered. Most contemporary face recognition systems suffer from limited abilities to ...
Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry
CVPR
2012
IEEE
11 years 9 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
ICIAP
2007
ACM
14 years 6 months ago
Appearance-based 3D object recognition with time-invariant features
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
Elisabetta Delponte, Nicoletta Noceti, Francesca O...
JMLR
2011
148views more  JMLR 2011»
13 years 1 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara