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» Sparse Matrix Multiplication Using UPC
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PPAM
2005
Springer
13 years 11 months ago
A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices
Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
Pavel Tvrdík, Ivan Simecek
CW
2002
IEEE
13 years 11 months ago
Efficient Data Compression Methods for Multi-Dimensional Sparse Array Operations
For sparse array operations, in general, the sparse arrays are compressed by some data compression schemes in order to obtain better performance. The Compressed Row/Column Storage...
Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu
CVPR
2012
IEEE
11 years 8 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
CORR
2011
Springer
222views Education» more  CORR 2011»
12 years 9 months ago
A New Data Layout For Set Intersection on GPUs
Abstract—Set intersection is the core in a variety of problems, e.g. frequent itemset mining and sparse boolean matrix multiplication. It is well-known that large speed gains can...
Rasmus Resen Amossen, Rasmus Pagh
ICML
2005
IEEE
14 years 7 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan