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OTM
2005
Springer
15 years 12 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
WSC
2007
15 years 8 months ago
Combining micro and macro-modeling in DEVS for computational biology
In computational biology there is an increasing need to combine micro and macro views of the system of interest. Therefore, explicit means to describe micro and macro level and th...
Adelinde M. Uhrmacher, Roland Ewald, Mathias John,...
CVPR
2008
IEEE
16 years 8 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss
VLDB
2005
ACM
140views Database» more  VLDB 2005»
15 years 12 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
WWW
2008
ACM
16 years 7 months ago
Structured objects in owl: representation and reasoning
Applications of semantic technologies often require the representation of and reasoning with structured objects--that is, objects composed of parts connected in complex ways. Alth...
Boris Motik, Bernardo Cuenca Grau, Ulrike Sattler