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ADBIS
2009
Springer
101views Database» more  ADBIS 2009»
13 years 8 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 9 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 6 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 6 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 4 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