Sparse modeling 2 Shiro Ikeda The Institute of Statistical Mathematics 3 July 2015

Source URL: watanabe-www.math.dis.titech.ac.jp

An Algorithmic Framework for Fixed-Cardinality Optimization in Sparse Graphs Applied to Dense Subgraph ProblemsI Christian Komusiewicza , Manuel Sorgea,1,∗ a

Source URL: fpt.akt.tu-berlin.de

Image representation and compression via sparse solutions of systems of linear equations Alfredo Nava-Tudela and John J. Benedetto Applied Mathematics & Statistics, and Scientific Computation Program, University of Mary

Source URL: www.math.umd.edu

Improved Bounds for Sparse Recovery from Adaptive Measurements Jarvis Haupt, Rui Castro, and Robert Nowak Rice University, Columbia University, and the University of Wisconsin–Madison Abstract—It is shown here that a

Source URL: www.win.tue.nl

SUBMITTED FOR PUBLICATION; Gradient Projection for Sparse Reconstruction: Application to Compressed

Source URL: nowak.ece.wisc.edu

Distilled Sensing: Selective Sampling for Sparse Signal Recovery Jarvis Haupt Dept. of Elec. and Comp. Engr. University of Wisconsin—Madison Madison, WI 53706

Source URL: www.ece.umn.edu

Parallel Triangle Counting and Enumeration using Matrix Algebra Ariful Azad1 , Aydın Buluc¸1 , John Gilbert2 E-mail: , , and 1 Lawrence

Source URL: gauss.cs.ucsb.edu

• Mathematics
• Algebra
• Linear algebra
• Numerical linear algebra
• Matrix
• Adjacency matrix
• Maximal independent set
• Algorithm
• Sparse matrix
• Basic Linear Algebra Subprograms
• Bloom filter
• Matching

SIAM J. SCI. COMPUT. Vol. 34, No. 4, pp. C170–C191 2012 Society for Industrial and Applied Mathematics PARALLEL SPARSE MATRIX-MATRIX MULTIPLICATION AND

Source URL: gauss.cs.ucsb.edu

• Sparse matrices
• Matrices
• Matrix theory
• Numerical linear algebra
• Multiplication
• Matrix
• Sparse matrix
• Logical matrix
• Band matrix
• Array programming
• Rank
• Square matrix

DFG-Schwerpunktprogramm 1324 Extraktion quantifizierbarer Information aus komplexen Systemen” ” An adaptive sparse grid semi-Lagrangian scheme for first order Hamilton-Jacobi Bellman equations

Source URL: www.dfg-spp1324.de

Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations Krishnakumar Balasubramanian College of Computing, Georgia Institute of Technology Kai Yu

Source URL: theanalysisofdata.com