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ESSMAC
2003
Springer
15 years 5 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
AI50
2006
15 years 3 months ago
A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret a...
Shrihari Vasudevan, Stefan Gächter, Ahad Hara...
AAAI
2007
15 years 2 months ago
Dominance and Equivalence for Sensor-Based Agents
This paper describes recent results from the robotics community that develop a theory, similar in spirit to the theory of computation, for analyzing sensor-based agent systems. Th...
Jason M. O'Kane, Steven M. LaValle
NIPS
2001
15 years 1 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
CGF
2011
14 years 3 months ago
Computer-Suggested Facial Makeup
Finding the best makeup for a given human face is an art in its own right. Experienced makeup artists train for years to be skilled enough to propose a best-fit makeup for an ind...
Kristina Scherbaum, Tobias Ritschel, Matthias B. H...