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» Mixture of SVMs for Face Class Modeling
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INTERSPEECH
2010
12 years 12 months ago
Can tongue be recovered from face? the answer of data-driven statistical models
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
Atef Ben Youssef, Pierre Badin, Gérard Bail...
CSL
2006
Springer
13 years 5 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
13 years 10 months ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 5 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
ICDAR
2007
IEEE
13 years 11 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...