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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 1 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 12 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»
16 years 20 days 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 10 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 6 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...