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» A MATLAB-Based Code Generator for Sparse Matrix Computations
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ICCS
2009
Springer
14 years 2 months ago
Generating Empirically Optimized Composed Matrix Kernels from MATLAB Prototypes
The development of optimized codes is time-consuming and requires extensive architecture, compiler, and language expertise, therefore, computational scientists are often forced to ...
Boyana Norris, Albert Hartono, Elizabeth R. Jessup...
EUROPAR
2003
Springer
14 years 21 days ago
Improving Performance of Hypermatrix Cholesky Factorization
Abstract. This paper shows how a sparse hypermatrix Cholesky factorization can be improved. This is accomplished by means of efficient codes which operate on very small dense matri...
José R. Herrero, Juan J. Navarro
EUROCRYPT
2004
Springer
14 years 26 days ago
Practical Large-Scale Distributed Key Generation
Generating a distributed key, where a constant fraction of the players can reconstruct the key, is an essential component of many largescale distributed computing tasks such as ful...
John F. Canny, Stephen Sorkin
CVPR
2012
IEEE
11 years 10 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
ICCV
2005
IEEE
14 years 9 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