723 search results - page 24 / 145 » Learning a Hidden Subgraph |
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...
ICIAP
2007
ACM
14 years 7 months ago
2007
ACM
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...