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BMCBI
2010
229views more  BMCBI 2010»
15 years 4 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CVPR
2007
IEEE
16 years 6 months ago
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
Benjamin Laxton, Jongwoo Lim, David J. Kriegman
ICCAD
2006
IEEE
125views Hardware» more  ICCAD 2006»
16 years 1 months ago
Performances improvement of FPGA using novel multilevel hierarchical interconnection structure
This paper presents a new Multilevel hierarchical FPGA (MFPGA) architecture that unifies two unidirectional programmable networks: A predictible downward network based on the But...
Hayder Mrabet, Zied Marrakchi, Pierre Souillot, Ha...
BIOCOMP
2006
15 years 5 months ago
Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...