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107
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TMI
2008
154views more  TMI 2008»
15 years 12 days ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
108
Voted
BMAS
2000
IEEE
15 years 5 months ago
A Table-Based Time-Domain Simulation Method for Oversampled Microelectromechanical Systems
This paper describes a table-based behavioral modeling method and an efficient transient simulation method for oversampled MEMS systems. A system is represented by a set of coupl...
Jiangfeng Wu, L. Richard Carley
95
Voted
FLAIRS
2001
15 years 1 months ago
Learning and Predicting User Behavior for Particular Resource Use
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
Jung Jin Lee, Robert McCartney, Eugene Santos Jr.
91
Voted
ICC
2009
IEEE
139views Communications» more  ICC 2009»
14 years 10 months ago
A Fluid Background Traffic Model
Background traffic has a significant impact on the behavior of network services and protocols. However, a detailed model of the background traffic can be extremely time consuming i...
Ting Li, Jason Liu
CEC
2008
IEEE
15 years 7 months ago
The simplest evolution/learning hybrid: LEM with KNN
Abstract— The Learnable Evolution Model (LEM) was introduced by Michalski in 2000, and involves interleaved bouts of evolution and learning. Here we investigate LEM in (we think)...
Guleng Sheri, David W. Corne