We propose a new approach to deal with the first and second order statistics of a set of images. These statistics take into account the images characteristic deformations and thei...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
In region-based image segmentation, two models dominate the field: the Mumford-Shah functional and statistical approaches based on Bayesian inference. Whereas the latter allow for...
In this paper, we report a study that examines the relationship between image-based computational analyses of web pages and users’ aesthetic judgments about the same image mater...
Xianjun Sam Zheng, Ishani Chakraborty, James Jeng-...
MB++ is a system that caters to the dynamic needs of applications in a distributed, pervasive computing environment that has a wide variety of devices that act as producers and co...
David J. Lillethun, David Hilley, Seth Horrigan, U...
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...