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» Algorithms for Non-negative Matrix Factorization
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RECOMB
2005
Springer
14 years 9 months ago
An Interaction-Dependent Model for Transcription Factor Binding
Transcriptional regulation is accomplished by several transcription factor proteins that bind to specific DNA elements in the relative vicinity of the gene, and interact with each ...
Li-San Wang, Shane T. Jensen, Sridhar Hannenhalli
ICML
2006
IEEE
14 years 9 months ago
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan...
ICDM
2010
IEEE
152views Data Mining» more  ICDM 2010»
13 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...
STOC
2005
ACM
139views Algorithms» more  STOC 2005»
14 years 9 months ago
Spectral norm of random matrices
We study the spectral norm of matrices M that can be factored as M = BA, where A is a random matrix with independent mean zero entries and B is a fixed matrix. Under the (4 + )-th ...
Van H. Vu
SIAMSC
2010
120views more  SIAMSC 2010»
13 years 7 months ago
Weighted Matrix Ordering and Parallel Banded Preconditioners for Iterative Linear System Solvers
The emergence of multicore architectures and highly scalable platforms motivates the development of novel algorithms and techniques that emphasize concurrency and are tolerant of ...
Murat Manguoglu, Mehmet Koyutürk, Ahmed H. Sa...