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ADBIS
2009
Springer
101views Database» more  ADBIS 2009»
13 years 11 months ago
Temporal Data Classification Using Linear Classifiers
Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that descri...
Peter Z. Revesz, Thomas Triplet
ICPR
2010
IEEE
13 years 11 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...
ICCV
2007
IEEE
14 years 8 months ago
Discriminative Subsequence Mining for Action Classification
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsud...
ADBIS
2008
Springer
117views Database» more  ADBIS 2008»
13 years 9 months ago
Reclassification of Linearly Classified Data Using Constraint Databases
In many problems the raw data is already classified according to a variety of features using some linear classification algorithm but needs to be reclassified. We introduce a novel...
Peter Z. Revesz, Thomas Triplet
PRL
2006
98views more  PRL 2006»
13 years 6 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai