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KDD
2000
ACM
168views Data Mining» more  KDD 2000»
13 years 11 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
OWLED
2007
13 years 9 months ago
Ontologies in OWL for Rapid Enterprise Integration
Ontologies enable explicit expression of collective concepts and support Machine-to-Machine (M2M) interactions at the semantic level. Ontologies expressed in a standard language, s...
Suzette Stoutenburg, Leo Obrst, Deborah Nichols, P...
ET
2007
61views more  ET 2007»
13 years 7 months ago
Reliability and Defect Tolerance in Metallic Quantum-dot Cellular Automata
The computational paradigm known as quantum-dot cellular automata (QCA) encodes binary information in the charge configuration of Coulomb-coupled quantum-dot cells. Functioning QC...
Mo Liu, Craig S. Lent
BMCBI
2006
137views more  BMCBI 2006»
13 years 7 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
ECCV
2008
Springer
14 years 9 months ago
Unified Crowd Segmentation
Abstract. This paper presents a unified approach to crowd segmentation. A global solution is generated using an Expectation Maximization framework. Initially, a head and shoulder d...
Gianfranco Doretto, Jens Rittscher, Nils Krahnstoe...