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» Multi-dimensional Sparse Matrix Storage
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HPCC
2007
Springer
13 years 11 months ago
Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU
A wide class of geometry processing and PDE resolution methods needs to solve a linear system, where the non-zero pattern of the matrix is dictated by the connectivity matrix of th...
Luc Buatois, Guillaume Caumon, Bruno Lévy
CISS
2011
IEEE
12 years 11 months ago
The Restricted Isometry Property for block diagonal matrices
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Ch...
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
12 years 10 months ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
IJCNN
2006
IEEE
14 years 1 months ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
14 years 26 days ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard