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» Clustering with Soft and Group Constraints
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CVPR
2008
IEEE
14 years 9 months ago
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
We propose a novel step toward the unsupervised segmentation of whole objects by combining "hints" of partial scene segmentation offered by multiple soft, binary mattes....
Andrew N. Stein, Thomas S. Stepleton, Martial Hebe...
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
Bidirectional best hit r-window gene clusters
Background: Conserved gene clusters are groups of genes that are located close to one another in the genomes of several species. They tend to code for proteins that have a functio...
Melvin Zhang, Hon Wai Leong
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
13 years 5 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Today...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
ICDCS
2012
IEEE
11 years 9 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
COMCOM
2004
85views more  COMCOM 2004»
13 years 7 months ago
Optimal PNNI complex node representations for restrictive costs
The Private Network-to-Network Interface (PNNI) is a scalable hierarchical protocol that allows ATM switches to be aggregated into clusters called peer groups. To provide good acc...
Ilias Iliadis