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» A Comparative Evaluation of Length Estimators
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ICASSP
2008
IEEE
15 years 4 months ago
Maximum kernel density estimator for robust fitting
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
Hanzi Wang
COLT
2004
Springer
15 years 3 months ago
Convergence of Discrete MDL for Sequential Prediction
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
Jan Poland, Marcus Hutter
ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
14 years 7 months ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
CLIN
2003
14 years 11 months ago
Reduction of Dutch Sentences for Automatic Subtitling
We compare machine learning approaches for sentence length reduction for automatic generation of subtitles for deaf and hearing-impaired people with a method which relies on hand-...
Erik F. Tjong Kim Sang, Walter Daelemans, Anja H&o...
NAACL
2003
14 years 11 months ago
Evaluating the Evaluation: A Case Study Using the TREC 2002 Question Answering Track
Evaluating competing technologies on a common problem set is a powerful way to improve the state of the art and hasten technology transfer. Yet poorly designed evaluations can was...
Ellen M. Voorhees