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» Feature selection with nonparametric statistics
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PR
2006
88views more  PR 2006»
14 years 9 months ago
Directional features in online handwriting recognition
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
Claus Bahlmann
EOR
2011
172views more  EOR 2011»
14 years 4 months ago
Efficiency measurement using independent component analysis and data envelopment analysis
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...
Ling-Jing Kao, Chi-Jie Lu, Chih-Chou Chiu
ACL
1998
14 years 11 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
ICASSP
2008
IEEE
15 years 4 months ago
Brute-forcing hierarchical functionals for paralinguistics: A waste of feature space?
While the ”‘quasi-state-of-the-art”’ towards acoustic emotion recognition relies on multivariate time-series analysis of e.g. pitch, energy, or MFCC by statistical functio...
Björn Schuller, Matthias Wimmer, Lorenz Moese...
VCIP
2003
170views Communications» more  VCIP 2003»
14 years 11 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger