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» Modeling affordances using Bayesian networks
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CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 3 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
JMLR
2010
157views more  JMLR 2010»
14 years 4 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
TASLP
2011
14 years 4 months ago
A Generative Student Model for Scoring Word Reading Skills
—This paper presents a novel student model intended to automate word-list-based reading assessments in a classroom setting, specifically for a student population that includes b...
Joseph Tepperman, Sungbok Lee, Shrikanth Narayanan...
CAIP
2009
Springer
221views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Model Based Analysis of Face Images for Facial Feature Extraction
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
ICCV
2005
IEEE
15 years 11 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall