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ICIP
2010
IEEE
14 years 11 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...
JCDL
2006
ACM
172views Education» more  JCDL 2006»
15 years 7 months ago
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
Illhoi Yoo, Xiaohua Hu
TII
2010
110views Education» more  TII 2010»
14 years 8 months ago
An Efficient Threshold-Based Power Management Mechanism for Heterogeneous Soft Real-Time Clusters
With growing cost of electricity, the power management of server clusters has become an important problem. However, most previous researchers only address the challenge in homogen...
Leping Wang, Ying Lu
EUROCAST
2009
Springer
185views Hardware» more  EUROCAST 2009»
15 years 8 months ago
Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
Martin Gruber, Günther R. Raidl
ACPC
1999
Springer
15 years 5 months ago
Modeling and Scheduling for MPEG-4 Based Video Encoder Using a Cluster of Workstations
In this paper, we first present an Object Composition Petri Nets (OCPN) based model methodology for describing the dynamic behaviour of the multiple video objects and user interac...
Yong He, Ishfaq Ahmad, Ming L. Liou