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» Learning Models for Predicting Recognition Performance
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ICPR
2004
IEEE
16 years 3 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov
TNN
2008
93views more  TNN 2008»
15 years 2 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
JCB
2008
159views more  JCB 2008»
15 years 2 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
132
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ICIP
2003
IEEE
15 years 7 months ago
Subspace eyetracking for driver warning
Driver’s fatigue/distraction is one of the most common causes of traffic accidents. The aim of this paper is to develop a real time system to detect anomalous situations while ...
Fernando De la Torre, Carlos Javier Garcia Rubio, ...
CLEAR
2007
Springer
271views Biometrics» more  CLEAR 2007»
15 years 8 months ago
The AIT Multimodal Person Identification System for CLEAR 2007
This paper presents the person identification system developed at Athens Information Technology and its performance in the CLEAR 2007 evaluations. The system operates on the audiov...
Andreas Stergiou, Aristodemos Pnevmatikakis, Lazar...