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FCCM
2007
IEEE
165views VLSI» more  FCCM 2007»
13 years 11 months ago
Sparse Matrix-Vector Multiplication Design on FPGAs
Creating a high throughput sparse matrix vector multiplication (SpMxV) implementation depends on a balanced system design. In this paper, we introduce the innovative SpMxV Solver ...
Junqing Sun, Gregory D. Peterson, Olaf O. Storaasl...
CIKM
2010
Springer
13 years 7 months ago
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...
Christian Thurau, Kristian Kersting, Christian Bau...
CORR
2012
Springer
195views Education» more  CORR 2012»
12 years 4 months ago
Ranking hubs and authorities using matrix functions
The notions of subgraph centrality and communicability, based on the exponential of the adjacency matrix of the underlying graph, have been effectively used in the analysis of und...
Michele Benzi, Ernesto Estrada, Christine Klymko
DSP
2006
13 years 9 months ago
Matrix pencil method for simultaneously estimating azimuth and elevation angles of arrival along with the frequency of the incom
In this paper we describe a method for simultaneously estimating the direction of arrival (DOA) of the signal along with its unknown frequency. In a typical DOA estimation problem...
Nuri Yilmazer, Raul Fernandez-Recio, Tapan K. Sark...
COMBINATORICS
2007
72views more  COMBINATORICS 2007»
13 years 9 months ago
Matrix Partitions with Finitely Many Obstructions
Each m by m symmetric matrix M over 0, 1, ∗, defines a partition problem, in which an input graph G is to be partitioned into m parts with adjacencies governed by M, in the sen...
Tomás Feder, Pavol Hell, Wing Xie