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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 4 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
16 years 4 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
119
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MOBISYS
2008
ACM
16 years 3 months ago
Virtual trip lines for distributed privacy-preserving traffic monitoring
Automotive traffic monitoring using probe vehicles with Global Positioning System receivers promises significant improvements in cost, coverage, and accuracy. Current approaches, ...
Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, ...
MDM
2004
Springer
147views Communications» more  MDM 2004»
15 years 9 months ago
Mobile Agents: Can They Assist with Context Awareness?
This position paper argues that the mobile agents paradigm is a useful and important technology enabling pervasive and ubiquitous computing. Context awareness drives adaptability ...
Arkady B. Zaslavsky
CF
2006
ACM
15 years 7 months ago
Performance characteristics of an adaptive mesh refinement calculation on scalar and vector platforms
Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise intractable problems in computational science. The AMR strategy solv...
Michael L. Welcome, Charles A. Rendleman, Leonid O...