Sciweavers

37 search results - page 3 / 8
» A New Initial Codebook Algorithm for Learning Vector Quantiz...
Sort
View
ICASSP
2011
IEEE
12 years 11 months ago
A new metric for VQ-based speech enhancement and separation
Speech enhancement and separation algorithms frequently employ two-stage processing schemes, where the signal is first mapped to an intermediate low-dimensional parametric descri...
Mads Græsbøll Christensen, Pejman Mow...
ESANN
2008
13 years 9 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
NN
2002
Springer
125views Neural Networks» more  NN 2002»
13 years 7 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
SIBGRAPI
1999
IEEE
13 years 11 months ago
Deterministic Texture Analysis and Synthesis Using Tree Structure Vector Quantization
Texture analysis and synthesis is very important for computer graphics, vision, and image processing. This paper describes an algorithm which can produce new textures with a matchi...
Li-Yi Wei
DICTA
2008
13 years 8 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu