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ECML
2006
Springer
15 years 1 months ago
Learning Stochastic Tree Edit Distance
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
Marc Bernard, Amaury Habrard, Marc Sebban
CORR
2010
Springer
157views Education» more  CORR 2010»
14 years 9 months ago
Efficient Clustering with Limited Distance Information
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
EUSFLAT
2009
123views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
A New Fuzzy Noise-Rejection Data Partitioning Algorithm with Revised Mahalanobis Distance
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
Mohammad Hossein Fazel Zarandi, Milad Avazbeigi, I...
NETWORK
2010
122views more  NETWORK 2010»
14 years 4 months ago
Betweenness centrality and resistance distance in communication networks
In this article we report on applications and extensions of weighted graph theory in the design and control of communication networks. We model the communication network as a weig...
Ali Tizghadam, Alberto Leon-Garcia
EDBT
2011
ACM
225views Database» more  EDBT 2011»
14 years 1 months ago
On (not) indexing quadratic form distance by metric access methods
The quadratic form distance (QFD) has been utilized as an effective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used...
Tomás Skopal, Tomás Bartos, Jakub Lo...