1704 search results - page 82 / 341 » Learning nonlinear dynamic models |
121
click to vote
CVPR
2001
IEEE
16 years 2 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
96
Voted
IDA
2009
Springer
15 years 7 months ago
2009
Springer
We present a novel extension to Independent Component Analysis (ICA), where the data is generated as the product of two submodels, each of which follow an ICA model, and which comb...
126
Voted
JMLR
2010
14 years 7 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
137
click to vote
SECON
2007
IEEE
15 years 7 months ago
2007
IEEE
Dynamic spectrum access has become a promising approach to fully utilize the scarce spectrum resources. In a dynamically changing spectrum environment, it is very important to desi...
117
click to vote
IICAI
2007
15 years 2 months ago
2007
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...