509 search results - page 84 / 102 » Using Learning for Approximation in Stochastic Processes |
151
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AIED
2011
Springer
14 years 6 months ago
2011
Springer
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
110
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
98
Voted
AAAI
1998
15 years 3 months ago
1998
Weadvance a knowledge-based learning method that augments conventional generalization to permit concept acquisition in failure domains. These are domains in whichlearning must pro...
136
Voted
CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...
171
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...