397 search results - page 22 / 80 » What makes a good model of natural images |
ISIPTA
1999
IEEE
14 years 1 months ago
1999
IEEE
I introduce and study a fairly general imprecise secondorder uncertainty model, in terms of lower desirability. A modeller's lower desirability for a gamble is defined as her...
MICCAI
2007
Springer
14 years 9 months ago
2007
Springer
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
ENVSOFT
2007
13 years 8 months ago
2007
Abstract: This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, thr...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...