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AUTOMATICA
2005
103views more  AUTOMATICA 2005»
15 years 6 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
ICASSP
2008
IEEE
16 years 1 months ago
Parsing-based objective functions for speech recognition in translation applications
This paper looks at a parsing-based alternative to word error rate (WER) for optimizing recognition, SParseval, hypothesizing that it may be a better objective for applications su...
Dustin Hillard, Mei-Yuh Hwang, Mary P. Harper, Mar...
FLAIRS
2007
15 years 9 months ago
Semantic Relations: Modelling Issues, Proposals and Possible Applications
Semantic relations are an important element in the construction of ontology-based linguistic resources and models of problem domains. Nevertheless, they remain under-specified. Th...
Francisco Álvarez, Antonio Vaquero, Fernand...
NIPS
2007
15 years 8 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
GW
2007
Springer
199views Biometrics» more  GW 2007»
16 years 25 days ago
Robust Tracking for Processing of Videos of Communication's Gestures
This paper presents a method of image processing used in a mono-vision system in order to study semiotic gestures. We present a robust method to track the hands and face of a perso...
Frédérick Gianni, Christophe Collet,...