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ECCV
1994
Springer
13 years 11 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
BMCBI
2007
167views more  BMCBI 2007»
13 years 7 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
SAC
2006
ACM
14 years 1 months ago
Digital geometry image analysis for medical diagnosis
This paper describes a new medical image analysis technique for polygon mesh surfaces of human faces for a medical diagnosis application. The goal is to explore the natural patter...
Jiandong Fang, Shiaofen Fang, Jeffrey Huang, Mihra...
TIFS
2008
129views more  TIFS 2008»
13 years 7 months ago
On Empirical Recognition Capacity of Biometric Systems Under Global PCA and ICA Encoding
Performance of biometric-based recognition systems depends on various factors: database quality, image preprocessing, encoding techniques, etc. Given a biometric database and a se...
Natalia A. Schmid, Francesco Nicolo
BMVC
2001
13 years 10 months ago
A Buyer's Guide to Euclidean Elliptical Cylindrical and Conical Surface Fitting
The ability to construct CAD or other object models from edge and range data has a fundamental meaning in building a recognition and positioning system. While the problem of model...
Petko Faber, Robert B. Fisher