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» A Bayesian Computational Cognitive Model
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TSP
2010
14 years 10 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
162
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CAIP
2009
Springer
221views Image Analysis» more  CAIP 2009»
15 years 10 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 ...
130
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KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 6 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...
TSMC
2010
14 years 10 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...
SEMWEB
2005
Springer
15 years 9 months ago
Modeling Degrees of Conceptual Overlap in Semantic Web Ontologies
Information retrieval systems have to deal with uncertain knowledge and query results should reflect this uncertainty in some manner. However, Semantic Web ontologies are based on...
Markus Holi, Eero Hyvönen