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» Mixture model based contextual image retrieval
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129
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FLAIRS
2008
15 years 4 months ago
A Framework for Evaluating Semantic Knowledge in Problem-Solving-Based Intelligent Tutoring Systems
We describe a framework for building intelligent tutoring systems that offer an advanced evaluation of learners' semantic knowledge. The knowledge model makes a pedagogical d...
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...
119
Voted
QI
2009
Springer
127views Physics» more  QI 2009»
15 years 10 months ago
Structured Information Retrieval and Quantum Theory
Information Retrieval (IR) systems try to identify documents relevant to user queries, which are representations of user information needs. Interaction, context, and document struc...
Benjamin Piwowarski, Mounia Lalmas
156
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CVPR
2000
IEEE
15 years 8 months ago
Scene Modeling for Wide Area Surveillance and Image Synthesis
We present a method for modeling a scene that is observed by a moving camera, where only a portion of the scene is visible at any time. This method uses mixture models to represen...
Anurag Mittal, Daniel P. Huttenlocher
167
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CVPR
2005
IEEE
16 years 5 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
108
Voted
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 3 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro