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ECCV
2006
Springer
14 years 12 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
MOBIHOC
2005
ACM
14 years 9 months ago
Low-coordination topologies for redundancy in sensor networks
Tiny, low-cost sensor devices are expected to be failure-prone and hence in many realistic deployment scenarios for sensor networks these nodes are deployed in higher than necessa...
Rajagopal Iyengar, Koushik Kar, Suman Banerjee
ADHOCNOW
2008
Springer
13 years 11 months ago
Communication in Random Geometric Radio Networks with Positively Correlated Random Faults
Abstract. We study the feasibility and time of communication in random geometric radio networks, where nodes fail randomly with positive correlation. We consider a set of radio sta...
Evangelos Kranakis, Michel Paquette, Andrzej Pelc

Publication
1462views
15 years 9 months ago
Statistical Models of Appearance for Computer Vision
A great technical report describing the work of T.F. Cootes and C.J.Taylor in the area of Active Shape Models and Active Appearance Models.
T.F. Cootes, C.J.Taylor
ISBI
2002
IEEE
14 years 2 months ago
Segmentation-free statistical image reconstruction for polyenergetic X-ray computed tomography
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measure...
Idris A. Elbakri, Jeffrey A. Fessler