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» Sparse Computations with PEI
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173
Voted
CVPR
2011
IEEE
14 years 11 months ago
Sparse Reconstruction Cost for Abnormal Event Detection
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
Yang Cong, Junsong Yuan, Ji Liu
172
Voted
PPOPP
2011
ACM
14 years 6 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
138
Voted
ICASSP
2009
IEEE
15 years 10 months ago
A low complexity Orthogonal Matching Pursuit for sparse signal approximation with shift-invariant dictionaries
We propose a variant of Orthogonal Matching Pursuit (OMP), called LoCOMP, for scalable sparse signal approximation. The algorithm is designed for shift-invariant signal dictionari...
Boris Mailhé, Rémi Gribonval, Fr&eac...
124
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Inpainting with sparse linear combinations of exemplars
We introduce a new exemplar-based inpainting algorithm that represents the region to be inpainted as a sparse linear combination of example blocks, extracted from the image being ...
Brendt Wohlberg
116
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Non-negative sparse image coder via simulated annealing and pseudo-inversion
We propose a sparse non-negative image coding based on simulated annealing and matrix pseudo-inversion. We show that sparsity and non-negativity are both important to obtain part-...
Ramin Pichevar, Jean Rouat