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ESSMAC
2003
Springer
15 years 12 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
RTSS
2009
IEEE
16 years 1 months ago
Cross-Layer Analysis of the End-to-End Delay Distribution in Wireless Sensor Networks
—Emerging applications of wireless sensor networks (WSNs) require real-time quality of service (QoS) guarantees to be provided by the network. However, designing real-time schedu...
Yunbo Wang, Mehmet C. Vuran, Steve Goddard
IPM
2008
102views more  IPM 2008»
15 years 6 months ago
Fast exact maximum likelihood estimation for mixture of language model
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Yi Zhang 0001, Wei Xu
COLING
2010
15 years 1 months ago
Learning Summary Content Units with Topic Modeling
In the field of multi-document summarization, the Pyramid method has become an important approach for evaluating machine-generated summaries. The method is based on the manual ann...
Leonhard Hennig, Ernesto William De Luca, Sahin Al...
CVPR
2011
IEEE
14 years 10 months ago
Visual textures as realizations of multivariate log-Gaussian Cox processes
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher