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TSP
2008
135views more  TSP 2008»
13 years 7 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...
FUIN
2010
268views more  FUIN 2010»
13 years 2 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
12 years 11 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
12 years 11 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
12 years 11 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