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» Learning Gaussian Process Models from Uncertain Data
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137
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CVPR
2008
IEEE
16 years 4 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
155
Voted
PAMI
2012
13 years 5 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce
PAMI
2008
156views more  PAMI 2008»
15 years 2 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
143
Voted
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
120
Voted
EDM
2009
153views Data Mining» more  EDM 2009»
15 years 10 days ago
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
Vasile Rus, Mihai C. Lintean, Roger Azevedo