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RAS
2007
85views more  RAS 2007»
14 years 11 months ago
Self-localization in non-stationary environments using omni-directional vision
This paper presents an image-based approach for localization in non-static environments using local feature descriptors, and its experimental evaluation in a large, dynamic, popul...
Henrik Andreasson, André Treptow, Tom Ducke...
JMLR
2010
140views more  JMLR 2010»
14 years 6 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
TSP
2011
125views more  TSP 2011»
14 years 6 months ago
Weight Adjusted Tensor Method for Blind Separation of Underdetermined Mixtures of Nonstationary Sources
—In this paper, a novel algorithm to blindly separate an instantaneous linear underdetermined mixture of nonstationary sources is proposed. It means that the number of sources ex...
Petr Tichavský, Zbynek Koldovský
ICASSP
2011
IEEE
14 years 3 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
AI
2007
Springer
15 years 5 months ago
Creating a Fuzzy Believer to Model Human Newspaper Readers
Abstract. We present a system capable of modeling human newspaper readers. It is based on the extraction of reported speech, which is subsequently converted into a fuzzy theory-bas...
Ralf Krestel, René Witte, Sabine Bergler