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169
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JMLR
2010
163views more  JMLR 2010»
14 years 10 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
154
Voted
CVPR
2011
IEEE
14 years 7 months ago
Tag Localization with Spatial Correlations and Joint Group Sparsity
Nowadays numerous social images have been emerging on the Web. How to precisely label these images is critical to image retrieval. However, traditional image-level tagging methods...
Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, Feipi...
153
Voted
ISCA
1995
IEEE
93views Hardware» more  ISCA 1995»
15 years 7 months ago
Optimizing Memory System Performance for Communication in Parallel Computers
Communicationin aparallel systemfrequently involvesmoving data from the memory of one node to the memory of another; this is the standard communication model employedin message pa...
Thomas Stricker, Thomas R. Gross
LCR
1998
Springer
111views System Software» more  LCR 1998»
15 years 7 months ago
Memory System Support for Irregular Applications
Because irregular applications have unpredictable memory access patterns, their performance is dominated by memory behavior. The Impulse con gurable memory controller will enable s...
John B. Carter, Wilson C. Hsieh, Mark R. Swanson, ...
144
Voted
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 3 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen