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» Sparse Recovery Using Sparse Random Matrices
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CISS
2010
IEEE
13 years 1 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
IMCSIT
2010
13 years 7 months ago
Assembling Recursively Stored Sparse Matrices
Abstract--Recently, we have introduced an approach to multicore computations on sparse matrices using recursive partitioning, called Recursive Sparse Blocks (RSB). In this document...
Michele Martone, Salvatore Filippone, Marcin Paprz...
FCCM
2006
IEEE
268views VLSI» more  FCCM 2006»
14 years 3 months ago
Sparse Matrix-Vector Multiplication for Finite Element Method Matrices on FPGAs
We present an architecture and an implementation of an FPGA-based sparse matrix-vector multiplier (SMVM) for use in the iterative solution of large, sparse systems of equations ar...
Yousef El-Kurdi, Warren J. Gross, Dennis Giannacop...
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 7 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala