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ICPR
2002
IEEE
14 years 8 months ago
Analyzing Non-Negative Matrix Factorization for Image Classification
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
Bernt Schiele, David Guillamet, Jordi Vitrià...
ARC
2010
Springer
387views Hardware» more  ARC 2010»
14 years 2 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides
SCALESPACE
2005
Springer
14 years 25 days ago
Matrix-Valued Filters as Convex Programs
Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and effic...
Martin Welk, Florian Becker, Christoph Schnör...
SIAMMAX
2010
164views more  SIAMMAX 2010»
13 years 2 months ago
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...
Amit Singer, Mihai Cucuringu
SIAMSC
2011
177views more  SIAMSC 2011»
13 years 2 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad