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» On sparse signal representations
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NIPS
2004
15 years 1 months ago
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
Eizaburo Doi, Michael S. Lewicki
ICASSP
2008
IEEE
15 years 6 months ago
Signal approximation using the bilinear transform
This paper explores the approximation properties of a unique basis expansion, which realizes a bilinear frequency warping between a continuous-time signal and its discrete-time re...
Archana Venkataraman, Alan V. Oppenheim
EUROPAR
1997
Springer
15 years 4 months ago
A Relational Approach to the Compilation of Sparse Matrix Programs
Abstract. We present a relational algebra based framework for compiling e cient sparse matrix code from dense DO-ANY loops and a speci cation of the representation of the sparse ma...
Vladimir Kotlyar, Keshav Pingali, Paul Stodghill
CVPR
2012
IEEE
13 years 2 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
ICASSP
2011
IEEE
14 years 3 months ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik