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ICIP
2009
IEEE
13 years 7 months ago
Fast subspace-based tensor data filtering
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Julien Marot, Caroline Fossati, Salah Bourennane
PRL
2007
138views more  PRL 2007»
13 years 9 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
ICASSP
2008
IEEE
14 years 4 months ago
Non-robustness of statistics-based beamformer design in correlated MIMO channels
Recent attention on correlated multi-input multi-output systems has centered around the case of imperfect channel or statistical information at the transmitter. The focus of this ...
Vasanthan Raghavan, Ada S. Y. Poon, Venugopal V. V...
IUI
2000
ACM
14 years 2 months ago
Requirements elicitation for an intelligent software test environment for the physically challenged
This paper is about the elicitation of the requirements for an intelligent interface for a software test development environment that will accommodate the physically challenged (P...
Warren Moseley
ICASSP
2011
IEEE
13 years 1 months ago
Online feature selection and classification
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
Habil Kalkan, Bayram Cetisli