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ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 3 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy
ISIPTA
2003
IEEE
125views Mathematics» more  ISIPTA 2003»
13 years 10 months ago
Game-Theoretic Learning Using the Imprecise Dirichlet Model
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
Erik Quaeghebeur, Gert de Cooman
ISCI
2007
88views more  ISCI 2007»
13 years 4 months ago
Strategy creation, decomposition and distribution in particle navigation
Strategy planning is crucial to control a group to achieve a number of tasks in a closed area full of obstacles. In this study, genetic programming has been used to evolve rule-ba...
Ulas Beldek, Kemal Leblebicioglu
ICIP
1999
IEEE
14 years 6 months ago
Perceptual Grouping of 3-D Features in Aerial Image Using Decision Tree Classifier
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
In Kyu Park, Kyoung Mu Lee, Sang Uk Lee
CVPR
2010
IEEE
13 years 10 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...