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ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
14 years 1 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry
MICCAI
2007
Springer
14 years 9 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
CVPR
2001
IEEE
14 years 10 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
AAAI
2012
11 years 11 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
GECCO
2009
Springer
14 years 1 months ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz