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» Comparing Similarity Combination Methods for Schema Matching
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TJS
2010
182views more  TJS 2010»
13 years 7 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
CVPR
2007
IEEE
14 years 10 months ago
Recognizing objects by piecing together the Segmentation Puzzle
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references. Our method first over segments an input image into...
Jianbo Shi, Timothée Cour
CVPR
2001
IEEE
14 years 10 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
ICCAD
2003
IEEE
193views Hardware» more  ICCAD 2003»
14 years 2 months ago
FROSTY: A Fast Hierarchy Extractor for Industrial CMOS Circuits
: This paper presents FROSTY, a computer program for automatically extracting the hierarchy of a large-scale digital CMOS circuit from its transistor-level netlist description and ...
Lei Yang, C.-J. Richard Shi
ECCV
2006
Springer
14 years 12 days ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...