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ICPR
2004
IEEE
14 years 6 months ago
Linear Discriminant Analysis and Discriminative Log-linear Modeling
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...
Daniel Keysers, Hermann Ney
ICCV
2003
IEEE
14 years 7 months ago
Cumulative Residual Entropy, A New Measure of Information & its Application to Image Alignment
In this paper we use the cumulative distribution of a random variable to define the information content in it and use it to develop a novel measure of information that parallels S...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
ICCV
2009
IEEE
1188views Computer Vision» more  ICCV 2009»
14 years 8 months ago
Actionable Information in Vision
I propose a notion of visual information as the complexity not of the raw images, but of the images after the effects of nuisance factors such as viewpoint and illumination are dis...
Stefano Soatto
ECCV
2002
Springer
14 years 7 months ago
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
Efstathios Hadjidemetriou, Michael D. Grossberg, S...
ICCV
2001
IEEE
14 years 7 months ago
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...
Ce Liu, Song Chun Zhu, Heung-Yeung Shum