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» Prediction on Spike Data Using Kernel Algorithms
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138
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ICML
2007
IEEE
16 years 3 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
103
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BMVC
2001
15 years 5 months ago
Robust Registration of 2D and 3D Point Sets
This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose non-linear optimization (the Levenberg–Marquardt...
Andrew W. Fitzgibbon
143
Voted
ECCV
2008
Springer
16 years 4 months ago
Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams
Video streams are ubiquitous in applications such as surveillance, games, and live broadcast. Processing and analyzing these data is challenging because algorithms have to be effic...
Sylvain Paris
BMCBI
2008
220views more  BMCBI 2008»
15 years 2 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Integrating co-training and recognition for text detection
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
Wen Wu, Datong Chen, Jie Yang