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PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
UM
2009
Springer
16 years 1 months ago
Evaluating Web Based Instructional Models Using Association Rule Mining
Abstract. In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive...
Enrique García, Cristóbal Romero, Se...
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
16 years 1 months ago
Rigorously Bayesian range finder sensor model for dynamic environments
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
IEEESCC
2008
IEEE
16 years 1 months ago
Mining Process Variants: Goals and Issues
Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model ...
Chen Li, Manfred Reichert, Andreas Wombacher