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» Learning Obstacle Avoidance with an Operant Behavior Model
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ICCV
2007
IEEE
14 years 1 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
JSW
2007
125views more  JSW 2007»
13 years 6 months ago
Description and Composition of E-Learning Services
— In this paper, we present our approach to describe and compose services for distant learning and research activities. For this purpose, we propose a metadata model for indexing...
Oussama Kassem Zein, Yvon Kermarrec
JAIR
2010
181views more  JAIR 2010»
13 years 1 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
WSC
1998
13 years 8 months ago
The Use of Simulation in the Planning of the Dutch Railway Services
The design of a quality timetable for the Dutch Railways is a complex task, because of the characteristics of the railway services. The complexity of the network and the heavily i...
Jurjen S. Hooghiemstra, Maurice J. G. Tunisse
SIGMETRICS
2008
ACM
13 years 6 months ago
Ironmodel: robust performance models in the wild
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...
Eno Thereska, Gregory R. Ganger