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ESSMAC
2003
Springer
15 years 2 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 1 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...
87
Voted
AAAI
2007
14 years 12 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
14 years 11 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
103
Voted
CGF
2011
14 years 1 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...