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142
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CIKM
2010
Springer
15 years 5 days ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
ECCV
2010
Springer
15 years 6 months ago
An eye fixation database for saliency detection in images
To learn the preferential visual attention given by humans to specific image content, we present NUSEF- an eye fixation database compiled from a pool of 758 images and 75 subjects....
CVPR
2012
IEEE
13 years 4 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
140
Voted
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 3 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
CCGRID
2005
IEEE
15 years 7 months ago
Evaluating high-throughput reliable multicast for grid applications in production networks
Grid computing can be characterized as a distributed infrastructure that is a collection of computing resources within or across locations that are aggregated to act as a unified ...
Marinho P. Barcellos, Maziar Nekovee, M. Koyabe, M...