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» Probabilistic Location Recognition using Reduced Feature Set
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131
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ICDAR
2007
IEEE
15 years 9 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
129
Voted
MCS
2010
Springer
15 years 4 months ago
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation
Abstract. Although widely used to reduce error rates of difficult pattern recognition problems, multiple classifier systems are not in widespread use in off-line signature verifica...
Luana Batista, Eric Granger, Robert Sabourin
157
Voted
ECCV
2010
Springer
15 years 23 days ago
Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
Ognjen Rudovic, Ioannis Patras, Maja Pantic
124
Voted
MCS
2010
Springer
15 years 4 months ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
122
Voted
BMCBI
2008
170views more  BMCBI 2008»
15 years 2 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini