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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
15 years 10 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
WEBI
2009
Springer
15 years 4 months ago
Rigorous Probabilistic Trust-Inference with Applications to Clustering
The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how...
Thomas DuBois, Jennifer Golbeck, Aravind Srinivasa...
MM
2010
ACM
252views Multimedia» more  MM 2010»
14 years 10 months ago
Real-time detection of unusual regions in image streams
Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
Rene Schuster, Roland Mörzinger, Werner Haas,...
IROS
2006
IEEE
127views Robotics» more  IROS 2006»
15 years 3 months ago
Learning Predictive Features in Affordance based Robotic Perception Systems
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...
Gerald Fritz, Lucas Paletta, Ralph Breithaupt, Eri...
AIME
2003
Springer
15 years 3 months ago
VIE-DIAB: A Support Program for Telemedical Glycaemic Control
Ambulatory care supporting long-term treatment of type I diabetes mellitus (DM) is based on the analysis of daily notes of serum glucose measurements, carbohydrate intake, and insu...
Christian Popow, Werner Horn, Birgit Rami, Edith S...