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» Feature Markov Decision Processes
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114
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CN
2007
135views more  CN 2007»
15 years 24 days ago
Handling feature interactions in the language for end system services
Since traditional telecommunication networks assume dumb terminals, there are rarely feature interactions involving end systems. However, in Internet telephony systems, such featur...
Xiaotao Wu, Henning Schulzrinne
128
Voted
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
15 years 6 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
151
Voted
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
15 years 6 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 5 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
86
Voted
ICIP
2008
IEEE
15 years 7 months ago
A new theoretic framework for cross-layer optimization
Cross-layer optimization aims at improving the performance of network users operating in a time-varying, error-prone wireless environment. However, current solutions often rely on...
Fangwen Fu, Mihaela van der Schaar