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DIS
2006
Springer
15 years 11 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
ECML
2006
Springer
15 years 9 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
ACCV
2010
Springer
15 years 2 months ago
Earth Mover's Morphing: Topology-Free Shape Morphing Using Cluster-Based EMD Flows
Abstract. This paper describes a method for topology-free shape morphing based on region cluster-based Earth Mover's Distance (EMD) flows, since existing methods for closed cu...
Yasushi Makihara, Yasushi Yagi
PAMI
2007
166views more  PAMI 2007»
15 years 6 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila
CIKM
2009
Springer
16 years 1 months ago
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
Social tagging systems have recently emerged as an effective way for users to annotate and organize large collections of resources on the Web. Moreover, they also facilitate an e...
Tom Chao Zhou, Irwin King