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143
Voted
NIPS
1994
15 years 5 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
113
Voted
CVPR
2010
IEEE
15 years 3 months ago
Multi-view structure computation without explicitly estimating motion
Most existing structure-from-motion methods follow a common two-step scheme, where relative camera motions are estimated in the first step and 3D structure is computed afterward ...
Hongdong Li
140
Voted
CORR
2007
Springer
170views Education» more  CORR 2007»
15 years 3 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
136
Voted
IJMSO
2007
104views more  IJMSO 2007»
15 years 3 months ago
Bringing taxonomic structure to large digital libraries
: Digital libraries are invaluable repositories of information. However, in many situations, their size makes it difficult to access the desired resource. In this paper, we present...
David Sánchez, Antonio Moreno
119
Voted
MICCAI
1998
Springer
15 years 8 months ago
Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures
We propose a new way of embedding shape distributions in a topological deformable template. These distributions rely on global shape descriptors corresponding to the 3D moment inva...
Fabrice Poupon, Jean-Francois Mangin, Dominique Ha...