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» A generalization of non-local means via kernel regression
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TNN
2011
200views more  TNN 2011»
13 years 6 days ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
JMLR
2010
143views more  JMLR 2010»
13 years 1 days ago
Regularized Discriminant Analysis, Ridge Regression and Beyond
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jor...
CVPR
2005
IEEE
14 years 7 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
WOSP
2010
ACM
14 years 3 days ago
Reducing performance non-determinism via cache-aware page allocation strategies
Performance non-determinism in computer systems complicates evaluation, use, and even development of these systems. In performance evaluation via benchmarking and simulation, nond...
Michal Hocko, Tomás Kalibera
JMLR
2008
151views more  JMLR 2008»
13 years 5 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs