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» Scale-Free Algorithms for Online Linear Optimization
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TIP
2008
127views more  TIP 2008»
14 years 9 months ago
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
Florian Luisier, Thierry Blu
ICML
2007
IEEE
15 years 10 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
JPDC
2010
137views more  JPDC 2010»
14 years 8 months ago
Parallel exact inference on the Cell Broadband Engine processor
—We present the design and implementation of a parallel exact inference algorithm on the Cell Broadband Engine (Cell BE). Exact inference is a key problem in exploring probabilis...
Yinglong Xia, Viktor K. Prasanna
ICML
1997
IEEE
15 years 10 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
TWC
2008
143views more  TWC 2008»
14 years 9 months ago
Power-efficient wireless OFDMA using limited-rate feedback
Emerging applications involving low-cost wireless sensor networks motivate well optimization of multi-user orthogonal frequency-division multiple access (OFDMA) in the power-limite...
Antonio G. Marqués, Georgios B. Giannakis, ...