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CAISE
1999
Springer
15 years 6 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska
FLAIRS
2003
15 years 3 months ago
Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
The goal of the MavHome smart home project is to build an intelligent home environment that is aware of its inhabitants and their activities. Such a home is designed to provide ma...
Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
ICPR
2006
IEEE
16 years 3 months ago
A Unified Formulation of Invariant Point Pattern Matching
We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model....
Terry Caelli, Tibério S. Caetano
ICIP
2000
IEEE
16 years 3 months ago
Moving Targets in Synthetic Aperture Images: A Bayesian Approach
This paper presents a novel method to determine the complete velocity vector of a moving target using a single Synthetic Aperture Radar (SAR) sensor. The method exploits the struc...
José M. B. Dias, Paulo A. C. Marques
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 11 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...