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2000
13 years 11 months ago
Data Embedding Using Phase Dispersion
A method of data embedding based on the convolution of message data with a random phase carrier is presented. The theory behind this method is reviewed and it is shown that the te...
Chris Honsinger
MCS
2009
Springer
14 years 4 months ago
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data
The classification of hyperspectral imagery, using multiple classifier systems is discussed and an SVM-based ensemble is introduced. The data set is separated into separate featu...
Xavier Ceamanos, Björn Waske, Jon Atli Benedi...
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 11 months ago
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
T. Ryan Hoens, Nitesh V. Chawla
ICPR
2010
IEEE
14 years 2 months ago
On-Line Fmri Data Classification Using Linear and Ensemble Classifiers
The advent of real-time fMRI pattern classification opens many avenues for interactive self-regulation where the brain's response is better modelled by multivariate, rather t...
Catrin Oliver Plumpton, Ludmila I. Kuncheva, David...
NPL
2000
95views more  NPL 2000»
13 years 9 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi