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CSDA
2008
154views more  CSDA 2008»
11 years 1 months ago
Independent factor discriminant analysis
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Angela Montanari, Daniela G. Calò, Cinzia V...
CORR
2008
Springer
99views Education» more  CORR 2008»
11 years 1 months ago
Perturbation analysis of an M/M/1 queue in a diffusion random environment
Abstract. We study in this paper an M/M/1 queue whose server rate depends upon the state of an independent Ornstein-Uhlenbeck diffusion process (X(t)) so that its value at time t i...
Christine Fricker, Fabrice Guillemin, Philippe Rob...
IJCNN
2006
IEEE
11 years 7 months ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva
CVPR
2008
IEEE
12 years 3 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
CVPR
1998
IEEE
12 years 3 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler
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