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» On the Performance of Clustering in Hilbert Spaces
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ICIP
1999
IEEE
15 years 11 months ago
Unsupervised Low-Frequency Driven Segmentation of Color Images
This paper presents an algorithm for unsupervised segmentation of color images. The main idea behind it is the use of the low-frequency content of images which allows for smoothin...
Luca Lucchese, Sanjit K. Mitra
80
Voted
TFS
2008
117views more  TFS 2008»
14 years 10 months ago
A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
Samia Nefti, Mourad Oussalah, Uzay Kaymak
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 10 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
92
Voted
ICML
2004
IEEE
15 years 11 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
83
Voted
HPCA
2007
IEEE
15 years 10 months ago
Illustrative Design Space Studies with Microarchitectural Regression Models
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Benjamin C. Lee, David M. Brooks