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» Quantization of Sparse Representations
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CVPR
2010
IEEE
13 years 6 months ago
Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
Jonathan Brandt
ICIP
2006
IEEE
14 years 9 months ago
Tree-Based Orthogonal Matching Pursuit Algorithm for Signal Reconstruction
Recent studies in linear inverse problems have recognized the sparse representation of unknown signal in a certain basis as an useful and effective prior information to solve thos...
Chinh La, Minh N. Do
ICONIP
2008
13 years 9 months ago
A Vector Quantization Approach for Life-Long Learning of Categories
We present a category learning vector quantization (cLVQ) approach for incremental and life-long learning of multiple visual categories where we focus on approaching the stability-...
Stephan Kirstein, Heiko Wersing, Horst-Michael Gro...
ICMLA
2007
13 years 9 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
INTERSPEECH
2010
13 years 2 months ago
A factorial sparse coder model for single channel source separation
We propose a probabilistic factorial sparse coder model for single channel source separation in the magnitude spectrogram domain. The mixture spectrogram is assumed to be the sum ...
Robert Peharz, Michael Stark, Franz Pernkopf, Yann...