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110
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ACSC
2002
IEEE
15 years 8 months ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
141
Voted
CVPR
2007
IEEE
16 years 5 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
127
Voted
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
15 years 9 months ago
Adaptive Geometric Templates for Feature Matching
Robust motion recovery in tracking multiple targets using image features is affected by difficulties in obtaining good correspondences over long sequences. Difficulties are intr...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
136
Voted
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
15 years 1 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
88
Voted
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 4 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan