40 search results - page 4 / 8 » Designing the Minimal Structure of Hidden Markov Model by Bi... |
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
NIPS
1998
13 years 8 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
ECAI
2004
Springer
14 years 25 days ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
ICC
2007
IEEE
14 years 1 months ago
2007
IEEE
— Given an AWGN channel, we look at the problem of designing a source controlled binary antipodal signaling system for transmitting blocks of binary symbols generated either by a...
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CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...