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ICPR
2008
IEEE
16 years 8 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
ICPR
2000
IEEE
16 years 7 months ago
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
The decrease in the volume of viable tumor is an indicator for the effect preoperative chemotherapy has on bone tumors. We develop an approach for segmenting dynamic perfusionMR-i...
Michael Egmont-Petersen, Alejandro F. Frangi, Wiro...
PRDC
2007
IEEE
16 years 29 days ago
RTG-L: Dependably Scheduling Real-Time Distributable Threads in Large-Scale, Unreliable Networks
We consider scheduling real-time distributable threads in the presence of node/link failures and message losses in large-scale network systems. We present a distributed scheduling...
Kai Han, Binoy Ravindran, E. Douglas Jensen
IPPS
1999
IEEE
15 years 11 months ago
NWCache: Optimizing Disk Accesses via an Optical Network/Write Cache Hybrid
In this paper we propose a simple extension to the I/O architecture of scalable multiprocessors that optimizes page swap-outs significantly. More specifically, we propose the use o...
Enrique V. Carrera, Ricardo Bianchini
PDPTA
2004
15 years 8 months ago
An Integrated Global Service for File Transfer and Management in a Network (FTM)
The management and access of distributed informational resources has emerged as an important requirement for scientific simulations using high-performance computing facilities. Bot...
Jim Almond, Peggy Lindner