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CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 6 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi
JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
COMBINATORICS
2007
60views more  COMBINATORICS 2007»
13 years 7 months ago
Higher Spin Alternating Sign Matrices
We define a higher spin alternating sign matrix to be an integer-entry square matrix in which, for a nonnegative integer r, all complete row and column sums are r, and all partia...
Roger E. Behrend, Vincent A. Knight
JMLR
2010
147views more  JMLR 2010»
13 years 2 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
ICC
2008
IEEE
141views Communications» more  ICC 2008»
14 years 2 months ago
Multilevel Structured Low-Density Parity-Check Codes
— Low-Density Parity-Check (LDPC) codes are typically characterized by a relatively high-complexity description, since a considerable amount of memory is required in order to sto...
Nicholas Bonello, Sheng Chen, Lajos Hanzo