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» Quantization of Sparse Representations
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TSP
2008
69views more  TSP 2008»
13 years 7 months ago
A Frame Construction and a Universal Distortion Bound for Sparse Representations
Abstract-- We consider approximations of signals by the elements of a frame in a complex vector space of dimension N and formulate both the noiseless and the noisy sparse represent...
Mehmet Akçakaya, Vahid Tarokh
GECCO
2003
Springer
116views Optimization» more  GECCO 2003»
14 years 25 days ago
A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
Abstract. A hybrid genetic algorithm is proposed for the sequential ordering problem. It is known that the performance of a genetic algorithm depends on the survival environment an...
Dong-il Seo, Byung Ro Moon
SGP
2003
13 years 9 months ago
High-Pass Quantization for Mesh Encoding
Any quantization introduces errors. An important question is how to suppress their visual effect. In this paper we present a new quantization method for the geometry of 3D meshes,...
Olga Sorkine, Daniel Cohen-Or, Sivan Toledo
CVPR
2011
IEEE
13 years 3 months ago
Robust Sparse Coding for Face Recognition
Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse lin...
Meng Yang, Lei Zhang
NIPS
2000
13 years 9 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...