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» On detecting space-time clusters
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MM
2005
ACM
154views Multimedia» more  MM 2005»
14 years 29 days ago
Determining structure in continuously recorded videos
In this paper, we present a scene detection framework on continuously recorded videos. Conventional temporal scene segmentation methods work for the videos composed of discrete sh...
Yun Zhai, Mubarak Shah
BMCBI
2004
181views more  BMCBI 2004»
13 years 7 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 1 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
IPPS
2006
IEEE
14 years 1 months ago
A proactive fault-detection mechanism in large-scale cluster systems
To improve the whole dependability of large-scale cluster systems, an online fault detection mechanism is proposed in this paper. This mechanism can detect the fault in time befor...
Linping Wu, Dan Meng, Wen Gao, Jianfeng Zhan
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 9 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...