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ICML
2010
IEEE
13 years 6 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 10 days ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
ECCV
2008
Springer
14 years 7 months ago
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
Abstract. This paper presents a technique for estimating the threedimensional velocity vector field that describes the motion of each visible scene point (scene flow). The techniqu...
Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas ...
CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 1 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
ESANN
2008
13 years 6 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz