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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 8 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner
IWBRS
2005
Springer
148views Biometrics» more  IWBRS 2005»
15 years 7 months ago
Model-Based Approaches for Predicting Gait Changes over Time
Interest in automated biometrics continues to increase, but has little consideration of time. This paper deals with a problem of recognition by gait when time-dependent and time-in...
Galina V. Veres, Mark S. Nixon, John N. Carter
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
APGV
2004
ACM
124views Visualization» more  APGV 2004»
15 years 5 months ago
An experimental approach to predicting saliency for simplified polygonal models
In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predi...
Sarah Howlett, John Hamill, Carol O'Sullivan
BMCBI
2005
141views more  BMCBI 2005»
15 years 2 months ago
A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...
Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiot...