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JGAA
2007
135views more  JGAA 2007»
15 years 6 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
TSE
1998
85views more  TSE 1998»
15 years 6 months ago
A Methodology for Feature Interaction Detection in the AIN 0.1 Framework
—In this paper, we propose an integrated methodology for specifying AIN and switch-based features and analyzing their interactions in the AIN 0.1 framework. The specification of ...
Fuchun Joseph Lin, Hong Liu, Abhijit Ghosh
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
15 years 4 months ago
Detecting Novel Discrepancies in Communication Networks
Abstract--We address the problem of detecting characteristic patterns in communication networks. We introduce a scalable approach based on set-system discrepancy. By implicitly lab...
James Abello, Tina Eliassi-Rad, Nishchal Devanur
EDM
2009
153views Data Mining» more  EDM 2009»
15 years 4 months ago
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
Vasile Rus, Mihai C. Lintean, Roger Azevedo
AISS
2010
107views more  AISS 2010»
15 years 4 months ago
A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram
In clinical diagnosis process of epilepsy, the physicians rely on tedious visual screening of long time recorded electroencephalograms (EEG) for detection and localization of impo...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...