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» Informative sampling for large unbalanced data sets
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BMCBI
2005
121views more  BMCBI 2005»
13 years 7 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
ICCV
2003
IEEE
14 years 9 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
INFORMATICALT
2008
122views more  INFORMATICALT 2008»
13 years 7 months ago
Modeling Phone Duration of Lithuanian by Classification and Regression Trees, using Very Large Speech Corpus
Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
Giedrius Norkevicius, Gailius Raskinis
ICRA
2007
IEEE
114views Robotics» more  ICRA 2007»
14 years 2 months ago
Spherical Laser Point Sampling with Application to 3D Scene Genetic Registration
— Scene registration of 3D laser rangefinder scans is increasingly being required in applications, such as mobile robotics, that demand a timely response. For speeding up point ...
Jorge L. Martínez, Antonio Reina, Anthony M...
ACL
2012
11 years 10 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer