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BMCBI
2005
136views more  BMCBI 2005»
14 years 9 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
TJS
2010
182views more  TJS 2010»
14 years 8 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
COMAD
2009
14 years 10 months ago
A Simple and Efficient Lane Detection using Clustering and Weighted Regression
Developing a vision based, efficient and automatic lane detection system from a moving vehicle is a challenging task mainly due to poor quality of lane markings, occlusion created...
Rudra N. Hota, Shahanaz Syed, Subhadip Bandyopadhy...
ICML
2009
IEEE
15 years 10 months ago
Bayesian clustering for email campaign detection
We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
Peter Haider, Tobias Scheffer
ICIP
2007
IEEE
15 years 4 months ago
Key-Places Detection and Clustering in Movies Using Latent Aspects
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical loca...
Maguelonne Héritier, Samuel Foucher, Langis...