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87
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ICASSP
2011
IEEE
14 years 4 months ago
Adaptive N-normalization for enhancing music similarity
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
Mathieu Lagrange, George Tzanetakis
85
Voted
ICASSP
2011
IEEE
14 years 4 months ago
An approach to sequential grouping in cochannel speech
Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervis...
Ke Hu, DeLiang Wang
106
Voted
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 7 months ago
Redistricting Using Heuristic-Based Polygonal Clustering
— Redistricting is the process of dividing a geographic area into districts or zones. This process has been considered in the past as a problem that is computationally too comple...
Deepti Joshi, Leen-Kiat Soh, Ashok Samal
91
Voted
GLOBECOM
2006
IEEE
15 years 6 months ago
A Distributed Size-bounded Multi-hop Clustering for Mobile Ad Hoc Networks
— During the last few years there has been a rapid development in mobile ad hoc networks (MANETs). To make the operations of a MANET more efficient, one approach is to construct...
Yong Wang, Muralidhar Medidi
85
Voted
SAC
2006
ACM
15 years 6 months ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...