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TSP
2008
135views more  TSP 2008»
15 years 2 months ago
Nonlinear Channel Equalization With Gaussian Processes for Regression
We propose Gaussian processes for regression as a novel nonlinear equalizer for digital communications receivers. GPR's main advantage, compared to previous nonlinear estimat...
Fernando Pérez-Cruz, Juan José Muril...
125
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FUIN
2010
268views more  FUIN 2010»
14 years 9 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
CVPR
2011
IEEE
14 years 6 months ago
Fusion of GPS and Structure-from-Motion using Constrained Bundle Adjustments
Two problems occur when bundle adjustment (BA) is applied on long image sequences: the large calculation time and the drift (or error accumulation). In recent work, the calculatio...
Maxime Lhuillier
ICASSP
2011
IEEE
14 years 6 months ago
Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition
This paper addresses a noise suppression problem, namely the estimation of non-stationary noise sequences. In this problem, we assume that non-stationary noise can be decomposed i...
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakat...
ICASSP
2011
IEEE
14 years 6 months ago
Extended Viterbi algorithm for optimized word HMMS
This paper deals with the problem of finding the optimal sequence of sub-word unit HMMs for a number of given utterances of a word. For this problem we present a new solution bas...
Michael Gerber, Tobias Kaufmann, Beat Pfister