Sciweavers

2011 search results - page 90 / 403
» MRA data segmentation using level sets
Sort
View
81
Voted
CORR
2006
Springer
98views Education» more  CORR 2006»
15 years 19 days ago
Bayesian Regression of Piecewise Constant Functions
We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise an...
Marcus Hutter
82
Voted
ICIP
2002
IEEE
15 years 5 months ago
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images
A novel approach to the detection of multiple sclerosis (MS) lesions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels ...
Daniele Peri, Edoardo Ardizzone, Roberto Pirrone, ...
BMCBI
2008
129views more  BMCBI 2008»
15 years 22 days ago
Gene set enrichment analysis for non-monotone association and multiple experimental categories
Background: Recently, microarray data analyses using functional pathway information, e.g., gene set enrichment analysis (GSEA) and significance analysis of function and expression...
Rongheng Lin, Shuangshuang Dai, Richard D. Irwin, ...
CGF
2010
171views more  CGF 2010»
14 years 9 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
113
Voted
IAJIT
2010
230views more  IAJIT 2010»
14 years 11 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad