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234
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JMLR
2010
163views more  JMLR 2010»
15 years 1 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
197
Voted
NAR
2010
107views more  NAR 2010»
15 years 1 months ago
NAPS: a residue-level nucleic acid-binding prediction server
Nucleic acid-binding proteins are involved in a great number of cellular processes. Understanding the mechanisms underlying these proteins first requires the identification of spe...
Matthew B. Carson, Robert E. Langlois, Hui Lu
224
Voted
CVPR
2011
IEEE
14 years 10 months ago
Total Recall II: Query Expansion Revisited
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
Ondrej Chum, Andrej Mikulik, Michal Perdoch, Jiri ...
171
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
224
Voted
ICASSP
2011
IEEE
14 years 10 months ago
A regularization framework for mobile social network analysis
Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and f...
Xiaowen Dong, Pascal Frossard, Pierre Vandergheyns...
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