1380 search results - page 31 / 276 » Learning Hierarchical Shape Models from Examples |
EDUTAINMENT
2008
Springer
13 years 9 months ago
2008
Springer
Reconstruction of a real tree from scattered scanned points is a new challenge in virtual reality. Although many progresses are made on main branch structures and overall shape of ...
AIED
2009
Springer
14 years 2 months ago
2009
Springer
Self-explaining is a beneficial learning strategy for studying worked-out examples because it either supplies missing information through the generation of inferences or because it...
AAAI
1996
13 years 9 months ago
1996
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we present a novel occlusion detection scheme for hidden Markov modeled shapes. First, hidden Markov model (HMM) is built using multiple examples of the shape. A re...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...