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» Robust Hierarchical Clustering
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TNN
1998
76views more  TNN 1998»
13 years 7 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett
IBPRIA
2005
Springer
14 years 1 months ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
NIPS
2007
13 years 9 months ago
Bayesian Agglomerative Clustering with Coalescents
We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
Yee Whye Teh, Hal Daumé III, Daniel M. Roy
CSDA
2008
91views more  CSDA 2008»
13 years 7 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...
DOCENG
2005
ACM
13 years 9 months ago
Structuring documents according to their table of contents
In this paper, we present a method for structuring a document according to the information present in its Table of Contents. The detection of the ToC as well as the determination ...
Hervé Déjean, Jean-Luc Meunier