756 search results - page 39 / 152 » Quantization of Sparse Representations |
257
Voted
NIPS
2008
15 years 3 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
135
Voted
NIPS
2004
15 years 3 months ago
2004
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...
100
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EUROPAR
1997
Springer
15 years 6 months ago
1997
Springer
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...
145
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
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...
125
Voted
CC
2008
Springer
15 years 4 months ago
2008
Springer
This paper introduces a new language model, Coqa, for deeply embedding concurrent programming into objects. Every program written in our language has the desirable behaviors of ato...