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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 8 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
CVPR
2010
IEEE
14 years 4 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
SEMCO
2009
IEEE
14 years 2 months ago
Using a Formal Language Constructs for Software Model Evolution
— In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actio...
Samuel A. Ajila, Shahid Alam
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
14 years 2 months ago
Graph-based robust shape matching for robotic application
— Shape is one of the useful information for object detection. The human visual system can often recognize objects based on the 2-D outline shape alone. In this paper, we address...
Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, Seong...
WEBI
2009
Springer
14 years 2 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...