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» Aspect-Oriented Programming of Sparse Matrix Code
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JMLR
2012
11 years 7 months ago
NIMFA: A Python Library for Nonnegative Matrix Factorization
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
Marinka Zitnik, Blaz Zupan
ICFP
2010
ACM
13 years 6 months ago
Specifying and verifying sparse matrix codes
Gilad Arnold, Johannes Hölzl, Ali Sinan K&oum...
EMMCVPR
2005
Springer
13 years 10 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
APLAS
2004
ACM
13 years 10 months ago
A MATLAB-Based Code Generator for Sparse Matrix Computations
Abstract. We present a matrix language compiler CMC which translates annotated MATLAB scripts into Fortran 90 programs. Distinguishing features of CMC include its applicability to ...
Hideyuki Kawabata, Mutsumi Suzuki, Toshiaki Kitamu...
ICCV
2005
IEEE
14 years 7 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler