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» Dynamic Modeling in Inductive Inference
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BMCBI
2010
152views more  BMCBI 2010»
13 years 8 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...
BIBM
2007
IEEE
132views Bioinformatics» more  BIBM 2007»
14 years 2 months ago
A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference
In this paper, we present an algorithm to simultaneously align three biological sequences with affine gap model and infer their common ancestral sequence. Our algorithm can be fu...
Feng Yue, Jijun Tang
ER
2007
Springer
167views Database» more  ER 2007»
13 years 12 months ago
An Unified Dynamic Description Logic Model for Databases: Relational Data, Relational Operations and Queries
The paper presents an unified Description Logic (DL) model for databases. Describing database models using DLs is a fundamental problem in many areas because it turns databases to...
Guoshun Hao, Shilong Ma, Yuefei Sui, Jianghua Lv
CVPR
2006
IEEE
14 years 10 months ago
Classifying Human Dynamics Without Contact Forces
We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
Alessandro Bissacco, Stefano Soatto
CVPR
2012
IEEE
11 years 10 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang