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» Complex Matrix Decomposition and Quadratic Programming
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ICASSP
2011
IEEE
12 years 9 months ago
Novel hierarchical ALS algorithm for nonnegative tensor factorization
The multiplicative algorithms are well-known for nonnegative matrix and tensor factorizations. The ALS algorithm for canonical decomposition (CP) has been proved as a “workhorse...
Anh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka...
JMLR
2008
169views more  JMLR 2008»
13 years 5 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
TSP
2011
142views more  TSP 2011»
13 years 6 days ago
Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection
—This paper deals with the problem of estimating the steering direction of a signal, embedded in Gaussian disturbance, under a general quadratic inequality constraint, representi...
Antonio De Maio, Yongwei Huang, Daniel Pére...
TPDS
2002
126views more  TPDS 2002»
13 years 4 months ago
P-3PC: A Point-to-Point Communication Model for Automatic and Optimal Decomposition of Regular Domain Problems
One of the most fundamental problems automatic parallelization tools are confronted with is to find an optimal domain decomposition for a given application. For regular domain prob...
Frank J. Seinstra, Dennis Koelma
SIAMJO
2010
127views more  SIAMJO 2010»
13 years 6 hour ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye