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» Feature Extraction Using ICA
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ICASSP
2008
IEEE
14 years 2 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
SAB
2010
Springer
127views Optimization» more  SAB 2010»
13 years 5 months ago
Tactile Discrimination Using Template Classifiers: Towards a Model of Feature Extraction in Mammalian Vibrissal Systems
Abstract. Rats and other whiskered mammals are capable of making sophisticated sensory discriminations using tactile signals from their facial whiskers (vibrissae). As part of a pr...
Mathew H. Evans, Charles W. Fox, Martin J. Pearson...
CICLING
2006
Springer
13 years 11 months ago
Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with...
Davide Buscaldi, Paolo Rosso, Ferran Pla, Encarna ...
JEI
2000
133views more  JEI 2000»
13 years 7 months ago
Low complexity block motion estimation using morphological-based feature extraction and XOR operations
Motion estimation is a temporal image compression technique, where an n x n block of pixels in the current frame of a video sequence is represented by a motion vector with respect...
Thinh M. Le, R. Mason, Sethuraman Panchanathan
ESANN
2006
13 years 9 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner