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» A Multilevel Segmentation Method
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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 8 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CIKM
2009
Springer
14 years 2 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
MICCAI
2008
Springer
14 years 8 months ago
Joint Segmentation of Thalamic Nuclei from a Population of Diffusion Tensor MR Images
Abstract. Several recent studies explored the use of unsupervised segmentation methods for segmenting thalamic nuclei from diffusion tensor images. These methods provide a plausibl...
Ulas Ziyan, Carl-Fredrik Westin
ICDCS
2011
IEEE
12 years 7 months ago
Economical and Robust Provisioning of N-Tier Cloud Workloads: A Multi-level Control Approach
—Resource provisioning for N-tier web applications in Clouds is non-trivial due to at least two reasons. First, there is an inherent optimization conflict between cost of resour...
PengCheng Xiong, Zhikui Wang, Simon Malkowski, Qin...
CEC
2009
IEEE
14 years 2 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao