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CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 9 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 9 months ago
A Bayesian Review of the Poisson-Dirichlet Process
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
Wray L. Buntine, Marcus Hutter
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 9 months ago
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem
Numerous biological functions--such as enzymatic catalysis, the immune response system, and the DNA-protein regulatory network--rely on the ability of molecules to specifically rec...
Yonatan Savir, Tsvi Tlusty
CORR
2010
Springer
320views Education» more  CORR 2010»
13 years 9 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 9 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin