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ICDM
2010
IEEE
146views Data Mining» more  ICDM 2010»
14 years 7 months ago
One-Class Matrix Completion with Low-Density Factorizations
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu,...
100
Voted
ICDM
2010
IEEE
152views Data Mining» more  ICDM 2010»
14 years 7 months ago
Reviewer Profiling Using Sparse Matrix Regression
Thousands of scientific conferences happen every year, and each involves a laborious scientific peer review process conducted by one or more busy scientists serving as Technical/Sc...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos...
CORR
2010
Springer
228views Education» more  CORR 2010»
14 years 8 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
SPAA
1998
ACM
15 years 1 months ago
Elimination Forest Guided 2D Sparse LU Factorization
Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
Kai Shen, Xiangmin Jiao, Tao Yang
85
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms
This paper presents a blind dereverberation method designed to recover the subband envelope of an original speech signal from its reverberant version. The problem is formulated as...
Hirokazu Kameoka, Tomohiro Nakatani, Takuya Yoshio...