1018 search results - page 36 / 204 » Learning Probabilistic Models of Contours |
IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
— This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned usin...
DAGSTUHL
2007
14 years 11 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
IJCV
2000
14 years 9 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...