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TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 2 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
RTAS
2009
IEEE
14 years 2 months ago
Lightweight Modeling of Complex State Dependencies in Stream Processing Systems
Over the last few years, Real-Time Calculus has been used extensively to model and analyze embedded systems processing continuous data/event streams. Towards this, bounds on the a...
Anne Bouillard, Linh T. X. Phan, Samarjit Chakrabo...
CSDA
2008
128views more  CSDA 2008»
13 years 8 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
WWW
2008
ACM
14 years 9 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...