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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
16 years 3 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
ACMACE
2006
ACM
16 years 1 days ago
Projecting tension in virtual environments through lighting
Interactive synthetic environments are currently used in a wide variety of applications, including video games, exposure therapy, education, and training. Their success in such do...
Magy Seif El-Nasr
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
16 years 18 days ago
Liposome logic
VLSI research, in its continuous push toward further miniaturisation, is seeking to break through the limitations of current circuit manufacture techniques by moving towards biomi...
James Smaldon, Natalio Krasnogor, Alexander Camero...
ABIALS
2008
Springer
16 years 12 days ago
The Cognitive Body: From Dynamic Modulation to Anticipation
Abstract— Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards...
Alberto Montebelli, Robert Lowe, Tom Ziemke