3449 search results - page 191 / 690 » A Framework for Multiple-Instance Learning |
133
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
126
Voted
CAIP
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, ...
90
Voted
ICRA
2007
IEEE
15 years 9 months ago
2007
IEEE
— We address the problem of learning terrain traversability properties from visual input, using automatic mechanical supervision collected from sensors onboard an autonomous vehi...
123
Voted
EDUTAINMENT
2007
Springer
15 years 8 months ago
2007
Springer
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
98
Voted
ICRA
2005
IEEE
15 years 8 months ago
2005
IEEE
— This paper proposes a learning framework for a CPG-based biped locomotion controller using a policy gradient method. Our goal in this study is to develop an efficient learning...