60 search results - page 2 / 12 » Vector Quantizing Feature Space with a Regular Lattice |
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
The encoding process of image vector quantization (VQ) is very heavy due to it performing a lot of k-dimensional Euclidean distance computations. In order to speed up VQ encoding,...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We propose an improved spoken term detection approach that uses support vector machines trained with lattice context consistency. The basic idea is that the same term usually have...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, we present a new independent component analysis mixture vector quantization (ICAMVQ) method to summarize the video content. In particular, independent component ana...
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
CVPR
2009
IEEE
15 years 12 days ago
2009
IEEE
Several recently-proposed architectures for highperformance
object recognition are composed of two main
stages: a feature extraction stage that extracts locallyinvariant
feature...