523 search results - page 30 / 105 » Hierarchical Mixture Models for Nested Data Structures |
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper deals with the problem of structuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications....
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
ML
1998
ACM
13 years 8 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...