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VLSISP
2010
254views more  VLSISP 2010»
15 years 5 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
ICIP
2002
IEEE
16 years 8 months ago
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by tri...
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
ICASSP
2008
IEEE
16 years 1 months ago
Frame-based acoustic feature integration for speech understanding
With the purpose of improving Spoken Language Understanding (SLU) performance, a combination of different acoustic speech recognition (ASR) systems is proposed. State a-posteriori...
Loic Barrault, Christophe Servan, Driss Matrouf, G...
ICPR
2008
IEEE
16 years 1 months ago
Fingerprint alignment using special ridges
Fingerprint is one of the biometrics used to identify a person. Alignment is an important step in fingerprint recognition, affecting greatly the speed and accuracy of matching. Ei...
Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong ...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 11 days ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon