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» Using Clustering Methods for Discovering Event Structures
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ICIP
2007
IEEE
14 years 2 months ago
Structural Texture Segmentation using Affine Symmetry
Many natural textures comprise structural patterns and show strong self-similarity. We use affine symmetry to segment an image into self-similar regions; that is a patch of textu...
Heechan Park, Graham R. Martin, Abhir Bhalerao
CASCON
1993
106views Education» more  CASCON 1993»
13 years 9 months ago
The use of process clustering in distributed-system event displays
When debugging a distributed application, a display showing the events causing interactions between processes can be very useful. If the number of processes is large, displaying a...
David J. Taylor
TOSEM
1998
80views more  TOSEM 1998»
13 years 8 months ago
Discovering Models of Software Processes from Event-Based Data
Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be d...
Jonathan E. Cook, Alexander L. Wolf
BMCBI
2008
103views more  BMCBI 2008»
13 years 8 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
BPM
2009
Springer
175views Business» more  BPM 2009»
14 years 3 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira