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ICML
2010
IEEE
15 years 8 months ago
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuch...
ICASSP
2010
IEEE
15 years 7 months ago
Partial clustering using a time-varying frequency model for singing voice detection
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...
Lise Regnier, Geoffroy Peeters
COR
2008
92views more  COR 2008»
15 years 7 months ago
Lagrangean relaxation with clusters for point-feature cartographic label placement problems
This paper presents two new mathematical formulations for the Point-Feature Cartographic Label Placement Problem (PFCLP ) and a new Lagrangean relaxation with clusters (LagClus) t...
Glaydston Mattos Ribeiro, Luiz Antonio Nogueira Lo...
CSDA
2008
91views more  CSDA 2008»
15 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...
SEKE
2010
Springer
15 years 5 months ago
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering
Topic hierarchies are very useful for managing, searching and browsing large repositories of text documents. The hierarchical clustering methods are used to support the constructi...
Ricardo M. Marcacini, Solange O. Rezende