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» Application of Level Set Methods in Computer Vision
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CCGRID
2009
IEEE
14 years 2 months ago
Markov Model Based Disk Power Management for Data Intensive Workloads
—In order to meet the increasing demands of present and upcoming data-intensive computer applications, there has been a major shift in the disk subsystem, which now consists of m...
Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Pad...
DSN
2006
IEEE
14 years 1 months ago
BlueGene/L Failure Analysis and Prediction Models
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s BlueGene/L which can acc...
Yinglung Liang, Yanyong Zhang, Anand Sivasubramani...
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
SIAMMAX
2010
189views more  SIAMMAX 2010»
13 years 2 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
VIS
2008
IEEE
134views Visualization» more  VIS 2008»
14 years 9 months ago
Glyph-Based SPECT Visualization for the Diagnosis of Coronary Artery Disease
Myocardial perfusion imaging with single photon emission computed tomography (SPECT) is an established method for the detection and evaluation of coronary artery disease (CAD). Sta...
Jennis Meyer-Spradow, Lars Stegger, Christian D...
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