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» Experiments on Graph Clustering Algorithms
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94
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ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ECRTS
2004
IEEE
15 years 1 months ago
Schedulability-Driven Partitioning and Mapping for Multi-Cluster Real-Time Systems
We present an approach to partitioning and mapping for multicluster embedded systems consisting of time-triggered and eventtriggered clusters, interconnected via gateways. We have...
Paul Pop, Petru Eles, Zebo Peng, Viacheslav Izosim...
109
Voted
ICML
2001
IEEE
15 years 11 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
91
Voted
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 2 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
90
Voted
TIT
2010
170views Education» more  TIT 2010»
14 years 4 months ago
Belief propagation estimation of protein and domain interactions using the sum-product algorithm
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
Faruck Morcos, Marcin Sikora, Mark S. Alber, Dale ...