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ICIAP
1999
ACM
15 years 10 months ago
Self-Training Statistic Snake for Image Segmentation and Tracking
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
WINE
2010
Springer
143views Economy» more  WINE 2010»
15 years 4 months ago
Impersonation Strategies in Auctions
A common approach to analyzing repeated auctions, such as sponsored search auctions, is to treat them as complete information games, because it is assumed that, over time, players...
Ian A. Kash, David C. Parkes
ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICML
2005
IEEE
16 years 7 months ago
High speed obstacle avoidance using monocular vision and reinforcement learning
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
Jeff Michels, Ashutosh Saxena, Andrew Y. Ng