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CIKM
2010
Springer
13 years 7 months ago
Hypergraph-based multilevel matrix approximation for text information retrieval
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
Haw-ren Fang, Yousef Saad
PARA
2004
Springer
14 years 2 months ago
A Family of High-Performance Matrix Multiplication Algorithms
During the last half-decade, a number of research efforts have centered around developing software for generating automatically tuned matrix multiplication kernels. These include ...
John A. Gunnels, Fred G. Gustavson, Greg Henry, Ro...
CCECE
2006
IEEE
14 years 25 days ago
Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix
This paper presents a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed scheme uses a forgetting processed input matrix as the projec...
Tao Dai, Andy Adler, Behnam Shahrrava
ICPR
2000
IEEE
14 years 1 months ago
A General Rank-2 Parameterization of the Fundamental Matrix
All the methods for estimating the fundamental matrix do not naturally exploit the rank-2 constraint. For these reason some few rank-2 parameterizations of the fundamental matrix ...
Francesco Isgrò, Emanuele Trucco
JMLR
2010
136views more  JMLR 2010»
13 years 3 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan