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HIS
2009
15 years 4 months ago
An Efficient VQ-Based Data Hiding Scheme Using Voronoi Clustering
In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codeowrds according the codewords' relation on Voronoi Diagram (VD). ...
Ming-Ni Wu, Puu-An Juang, Yu-Chiang Li
TVLSI
2010
15 years 1 months ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien
DIS
2009
Springer
16 years 1 months ago
Subspace Discovery for Promotion: A Cell Clustering Approach
The promotion analysis problem has been proposed in [16], where ranking-based promotion query processing techniques are studied to effectively and efficiently promote a given obje...
Tianyi Wu, Jiawei Han
IJCNN
2008
IEEE
16 years 1 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
178
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ICC
2007
IEEE
16 years 29 days ago
Locating Congested Segments on the Internet by Clustering the Delay Performance of Multiple Paths
— A practical method of locating congested segments on the Internet by periodic end-to-end packet delay measurements along multiple paths is presented. This method is a network t...
Atsuo Tachibana, Shigehiro Ano, Toru Hasegawa, Mas...