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JMLR
2010
147views more  JMLR 2010»
13 years 3 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
BMCBI
2006
129views more  BMCBI 2006»
13 years 8 months ago
Fast index based algorithms and software for matching position specific scoring matrices
Background: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs in nucleotide as well as amino acid sequences....
Michael Beckstette, Robert Homann, Robert Giegeric...
ARC
2012
Springer
280views Hardware» more  ARC 2012»
12 years 4 months ago
Scalable Memory Hierarchies for Embedded Manycore Systems
As the size of FPGA devices grows following Moore’s law, it becomes possible to put a complete manycore system onto a single FPGA chip. The centralized memory hierarchy on typica...
Sen Ma, Miaoqing Huang, Eugene Cartwright, David L...
ICIP
2000
IEEE
14 years 25 days ago
Adaptive Target Detection Across a Clutter Boundary: GLR and Maximally Invariant Detectors
We present and compare adaptive detection algorithms developed for synthetic aperture radar (SAR) targets in structured clutter, utilizing both generalized likelihood ratio (GLR) ...
Hyung Soo Kim, Alfred O. Hero III
DMIN
2008
145views Data Mining» more  DMIN 2008»
13 years 10 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild