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» Probability Models for High Dynamic Range Imaging
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FOCS
1993
IEEE
15 years 1 months ago
Simulated Annealing for Graph Bisection
We resolve in the a rmative a question of Boppana and Bui: whether simulated annealing can, with high probability and in polynomial time, nd the optimal bisection of a random grap...
Mark Jerrum, Gregory B. Sorkin
CVPR
1998
IEEE
15 years 11 months ago
Stereo and Color Analysis for Dynamic Obstacle Avoidance
We develop a vision system for highly mobile autonomous agents that is capable of dynamic obstacle avoidance. We demonstrate the robust performance of the system in artificial ani...
Tamer F. Rabie, Demetri Terzopoulos
CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 9 months ago
Statistical mechanics of neocortical interactions: Portfolio of Physiological Indicators
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...
Lester Ingber
ECCV
2006
Springer
15 years 11 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
ICCV
1999
IEEE
15 years 2 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor