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BMCBI
2010
156views more  BMCBI 2010»
14 years 9 months ago
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
Background: An adaptive coarse-grained (kinetic) Monte Carlo (ACGMC) simulation framework is applied to reaction and diffusion dynamics in inhomogeneous domains. The presented mod...
Stuart Collins, Michail Stamatakis, Dionisios G. V...
ICASSP
2010
IEEE
14 years 9 months ago
Evolutionary spectral clustering with adaptive forgetting factor
Many practical applications of clustering involve data collected over time. In these applications, evolutionary clustering can be applied to the data to track changes in clusters ...
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
ICML
2007
IEEE
15 years 10 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
CSMR
2004
IEEE
15 years 1 months ago
Architecture-Aware Adaptive Clustering of OO Systems
The recovery of software architecture is a first important step towards re-engineering a software system. Architecture recovery usually involves clustering. The problem with curre...
Markus Bauer, Mircea Trifu
CCGRID
2006
IEEE
15 years 3 months ago
Transparent Adaptive Library-Based Checkpointing for Master-Worker Style Parallelism
We present a transparent, system-level checkpointing solution for master-worker parallelism that automatically adapts, upon restart, to the number of processor nodes available. Th...
Gene Cooperman, Jason Ansel, Xiaoqin Ma