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IBPRIA
2003
Springer
15 years 8 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
IBPRIA
2003
Springer
15 years 8 months ago
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images
Abstract. This paper deals with the problem of reconstructing a highresolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displace...
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos...
ECP
1999
Springer
157views Robotics» more  ECP 1999»
15 years 7 months ago
SAT-Based Procedures for Temporal Reasoning
In this paper we study the consistency problem for a set of disjunctive temporal constraints [Stergiou and Koubarakis, 1998]. We propose two SAT-based procedures, and show that—o...
Alessandro Armando, Claudio Castellini, Enrico Giu...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 7 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
122
Voted
DESRIST
2010
Springer
152views Education» more  DESRIST 2010»
15 years 5 months ago
Process Performance Management - Identifying Stereotype Problem Situations as a Basis for Effective and Efficient Design Researc
Abstract. Just recently many organisations get involved with process performance management (PPM). It appears, however, that PPM initiatives confront organisations with multi-facet...
Anne Cleven, Felix Wortmann, Robert Winter