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BMCBI
2010
229views more  BMCBI 2010»
15 years 1 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 3 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»
15 years 10 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 2 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 2 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...