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5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
139
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GLOBECOM
2009
IEEE
15 years 10 months ago
Real-World VANET Security Protocol Performance
—Many results have been published in the literature based on performance measurements obtained from simulations of Vehicular Networks (VANETs). These simulations use as input tra...
Jason J. Haas, Yih-Chun Hu, Kenneth P. Laberteaux
ISBI
2004
IEEE
16 years 4 months ago
Clustering On Image Boundary Regions for Deformable Model Segmentation
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
Joshua Stough, Stephen M. Pizer, Edward L. Chaney,...
138
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BMCBI
2004
139views more  BMCBI 2004»
15 years 3 months ago
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
Jeffrey P. Townsend
ICPR
2010
IEEE
15 years 1 months ago
Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
Next-best-view (NBV) planning is an important aspect for three-dimensional (3D) reconstruction within controlled environments, such as a camera mounted on a robotic arm. NBV metho...
Michael Trummer, Christoph Munkelt, Joachim Denzle...