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TKDE
2002
133views more  TKDE 2002»
15 years 6 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
ICIP
2010
IEEE
15 years 4 months ago
Edge-adaptive image segmentation based on seam processing and K-Means clustering
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
IMCSIT
2010
15 years 4 months ago
Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...
Pawel Czarnul
ICIP
2001
IEEE
16 years 8 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
MICCAI
2009
Springer
16 years 8 months ago
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
François Chung, Hervé Delingette