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HIS
2004
15 years 9 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
CSSC
2008
110views more  CSSC 2008»
15 years 7 months ago
Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications
The interest in inference in the wavelet domain remains vibrant area of statistical research because of needs of scientific community to process and explore massive data sets. Prim...
Ilya Lavrik, Yoon Young Jung, Fabrizio Ruggeri, Br...
IANDC
2011
129views more  IANDC 2011»
15 years 2 months ago
Rigid tree automata and applications
We introduce the class of Rigid Tree Automata (RTA), an extension of standard bottom-up automata on ranked trees with distinguished states called rigid. Rigid states define a res...
Florent Jacquemard, Francis Klay, Camille Vacher
SIAMIS
2010
109views more  SIAMIS 2010»
15 years 2 months ago
Application of the Topological Gradient Method to Color Image Restoration
The goal of this note is to generalize the topological gradient method, applied to restoration and classification problems for grey-level images, to color images. We illustrate ou...
Didier Auroux, Lamia Jaafar Belaid, Badreddine Rja...
ICML
2006
IEEE
16 years 8 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis