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» Stochastic Motif Extraction Using Hidden Markov Model
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BMCBI
2005
100views more  BMCBI 2005»
14 years 11 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
100
Voted
NIPS
2008
15 years 1 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
SIGIR
2003
ACM
15 years 5 months ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...
ICRA
2006
IEEE
82views Robotics» more  ICRA 2006»
15 years 5 months ago
Behavior Modeling in Man-machine Cooperative System based on Stochastic Switched Dynamics
— This paper presents a new mathematical model for the human behavior called Stochastic Switched Linear Dynamical (SS-LD) model. The SS-LD model can be regarded as a natural exte...
Naoyuki Yamada, Shinkichi Inagaki, Tatsuya Suzuki,...
ICIP
2007
IEEE
16 years 1 months ago
Semantics-Based Video Indexing using a Stochastic Modeling Approach
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
Yong Wei, Suchendra M. Bhandarkar, Kang Li