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» Order reduction of large scale DAE models
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BMCBI
2011
12 years 11 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
SIGGRAPH
2000
ACM
13 years 11 months ago
Out-of-core simplification of large polygonal models
We present an algorithm for out-of-core simplification of large polygonal datasets that are too complex to fit in main memory. The algorithm extends the vertex clustering scheme o...
Peter Lindstrom
BMCBI
2008
242views more  BMCBI 2008»
13 years 7 months ago
New time-scale criteria for model simplification of bio-reaction systems
Background: Quasi-steady state approximation (QSSA) based on time-scale analysis is known to be an effective method for simplifying metabolic reaction system, but the conventional...
Junwon Choi, Kyung-won Yang, Tai-yong Lee, Sang Yu...
ISCAS
2007
IEEE
173views Hardware» more  ISCAS 2007»
14 years 1 months ago
Critical Charge Characterization for Soft Error Rate Modeling in 90nm SRAM
— Due to continuous technology scaling, the reduction of nodal capacitances and the lowering of power supply voltages result in an ever decreasing minimal charge capable of upset...
Riaz Naseer, Younes Boulghassoul, Jeff Draper, San...
GLOBECOM
2008
IEEE
14 years 1 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...