Sciweavers

358 search results - page 2 / 72
» Sparse squares of polynomials
Sort
View
ICASSP
2010
IEEE
13 years 6 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ISNN
2007
Springer
14 years 13 days ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek
DCC
2004
IEEE
14 years 5 months ago
On Non-Polynomial Latin Squares
A Latin square L = L( ij) over the set S = {0, 1, . . . , n - 1} is called totally non-polynomial over Zn iff
Otokar Grosek, Peter Horák, Tran van Trung
IPCO
2008
129views Optimization» more  IPCO 2008»
13 years 7 months ago
A Polynomial Time Approximation Scheme for the Square Packing Problem
Given a set Q of squares with positive pro ts, the square packing problem is to select and pack a subset of squares of maximum pro t into a rectangular bin R. We present a polynomi...
Klaus Jansen, Roberto Solis-Oba
ICASSP
2009
IEEE
14 years 1 months ago
Jitter compensation in sampling via polynomial least squares estimation
Sampling error due to jitter, or noise in the sample times, affects the precision of analog-to-digital converters in a significant, nonlinear fashion. In this paper, a polynomial...
Daniel S. Weller, Vivek K. Goyal