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ICARCV
2002
IEEE
109views Robotics» more  ICARCV 2002»
14 years 1 months ago
Quantized wavelet features and support vector machines for on-road vehicle detection
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Zehang Sun, George Bebis, Ronald Miller
VIIP
2001
13 years 10 months ago
Using Graphics Cards for Quantized FEM Computations
Graphics cards exercise increasingly more computing power and are highly optimized for high data transfer volumes. In contrast typical workstations perform badly when data exceeds...
Martin Rumpf, Robert Strzodka
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 3 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
ICASSP
2009
IEEE
14 years 3 months ago
Comparing maximum a posteriori vector quantization and Gaussian mixture models in speaker verification
Gaussian mixture model - universal background model (GMMUBM) is a standard reference classifier in speaker verification. We have recently proposed a simplified model using vect...
Tomi Kinnunen, Juhani Saastamoinen, Ville Hautam&a...
DCC
2000
IEEE
14 years 29 days ago
RD-Optimization of Hierarchical Structured Adaptive Vector Quantization for Video Coding
This paper contains two contributions to very-low-bitrate video coding. First, we show that in contrast to common practice incremental techniques for rate-distortion optimization ...
Marcel Wagner, Dietmar Saupe