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» Using PageRank in Feature Selection
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ICPR
2002
IEEE
15 years 7 months ago
Better Features to Track by Estimating the Tracking Convergence Region
Reliably tracking key points and textured patches from frame to frame is the basic requirement for many bottomup computer vision algorithms. The problem of selecting the features ...
Zoran Zivkovic, Ferdinand van der Heijden
NAACL
2004
15 years 3 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
CVPR
2008
IEEE
16 years 4 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
129
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SCAI
2008
15 years 3 months ago
Defect Prediction in Hot Strip Rolling Using ANN and SVM
One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very im...
Manu Hietaniemi, Ulla Elsilä, Perttu Laurinen...
CVPR
2010
IEEE
15 years 10 months ago
Rapid Selection of Reliable Templates for Visual Tracking
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...
Nicolas Alt, Stefan Hinterstoisser, Nassir Navab