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» A Computational Model for Arguments Understanding
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CVPR
2007
IEEE
16 years 6 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
15 years 10 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
CMSB
2006
Springer
15 years 8 months ago
Probabilistic Model Checking of Complex Biological Pathways
Abstract. Probabilistic model checking is a formal verification technique that has been successfully applied to the analysis of systems from a broad range of domains, including sec...
John Heath, Marta Z. Kwiatkowska, Gethin Norman, D...
SBP
2011
Springer
14 years 11 months ago
Using Web-Based Knowledge Extraction Techniques to Support Cultural Modeling
The World Wide Web is a potentially valuable source of information about the cognitive characteristics of cultural groups. However, attempts to use the Web in the context of cultur...
Paul R. Smart, Winston R. Sieck, Nigel R. Shadbolt
ACL
2012
13 years 7 months ago
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
William Yang Wang, Elijah Mayfield, Suresh Naidu, ...