1380 search results - page 102 / 276 » Learning Hierarchical Shape Models from Examples |
KR
2004
Springer
14 years 2 months ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
APPROX
2005
Springer
14 years 2 months ago
2005
Springer
Abstract: We study the average-case learnability of DNF formulas in the model of learning from uniformly distributed random examples. We define a natural model of random monotone ...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
JAIR
1998
13 years 8 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
TOG
2010
13 years 3 months ago
2010
We present a system for quick and easy manipulation of the body shape and proportions of a human actor in arbitrary video footage. The approach is based on a morphable model of 3D...