323 search results - page 4 / 65 » Learning nonsingular phylogenies and hidden Markov models |
MM
2005
ACM
14 years 2 months ago
2005
ACM
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
AIED
2007
Springer
14 years 2 months ago
2007
Springer
ICONIP
2008
13 years 10 months ago
2008
A number of learning machines used in information science are not regular, but rather singular, because they are non-identifiable and their Fisher information matrices are singula...
IICAI
2007
13 years 9 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...
CVIU
2004
13 years 8 months ago
2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...