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» Unfolding of Microarray Data
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CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
14 years 19 days ago
Qualitative diagnosability of labeled petri nets revisited
Abstract— In recent years, classical discrete event fault diagnosis techniques have been extended to Petri Net system models under partial order semantics [8], [9], [13]. In [14]...
Stefan Haar
CORR
2008
Springer
100views Education» more  CORR 2008»
13 years 8 months ago
Learning Isometric Separation Maps
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
AIEDAM
2005
60views more  AIEDAM 2005»
13 years 7 months ago
Chasing concepts during design: A photo shoot from the field of architecture
This paper examines the role of design concepts in a modus operandi as opposed to a modus operatum, which is how their generation, as it unfolds over time, is perceived by someone...
A. N. N. Heylighen, Geneviève Martin
ASPDAC
2011
ACM
227views Hardware» more  ASPDAC 2011»
12 years 11 months ago
Minimizing buffer requirements for throughput constrained parallel execution of synchronous dataflow graph
– This paper concerns throughput-constrained parallel execution of synchronous data flow graphs. This paper assumes static mapping and dynamic scheduling of nodes, which has seve...
Tae-ho Shin, Hyunok Oh, Soonhoi Ha
ICPR
2006
IEEE
14 years 9 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen