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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
HYBRID
2007
Springer
14 years 2 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
INTERSPEECH
2010
13 years 2 months ago
Feature versus model based noise robustness
Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...
UIC
2007
Springer
14 years 1 months ago
Audio-Visual Fused Online Context Analysis Toward Smart Meeting Room
Abstract. Context-aware systems incorporate multimodal information to analyze contextual information in users’ environment and provide various proactive services according to dyn...
Peng Dai, Linmi Tao, Guangyou Xu
CDC
2008
IEEE
14 years 2 months ago
Robust invariant set theory applied to networked buffer-level control
— A manufacturer producing several items keeps them into safety stocks (buffers) in order to supply an external stochastic demand without interruptions. We consider the classical...
Francesco Borrelli, Carmen Del Vecchio, Alessandra...