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» Clustering Documents with Active Learning Using Wikipedia
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ECCV
2008
Springer
14 years 9 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
WCRE
1999
IEEE
13 years 12 months ago
Experiments with Clustering as a Software Remodularization Method
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...
Nicolas Anquetil, Timothy Lethbridge
TJS
2010
182views more  TJS 2010»
13 years 6 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 28 days ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
UAIS
2008
88views more  UAIS 2008»
13 years 7 months ago
Utilizing Wiki-Systems in higher education classes: a chance for universal access?
Abstract Wikis are a website technology for mass collaborative authoring. Today, wikis are increasingly used for educational purposes. Basically, the most important asset of wikis ...
Martin Ebner, Michael D. Kickmeier-Rust, Andreas H...