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» Evaluating learning algorithms and classifiers
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ICPR
2006
IEEE
16 years 5 months ago
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images
This paper presents a new representation and evaluation procedure of page segmentation algorithms and analyzes six widely-used layout analysis algorithms using the procedure. The ...
Daniel Keysers, Faisal Shafait, Thomas M. Breuel
BIBE
2007
IEEE
142views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, Se...
TMA
2010
Springer
183views Management» more  TMA 2010»
15 years 2 months ago
Kiss to Abacus: A Comparison of P2P-TV Traffic Classifiers
In the last few years the research community has proposed several techniques for network traffic classification. While the performance of these methods is promising especially for ...
Alessandro Finamore, Michela Meo, Dario Rossi, Sil...
ICML
2005
IEEE
16 years 5 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
CORR
2008
Springer
94views Education» more  CORR 2008»
15 years 4 months ago
Decision Support with Belief Functions Theory for Seabed Characterization
The seabed characterization from sonar images is a very hard task because of the produced data and the unknown environment, even for an human expert. In this work we propose an ori...
Arnaud Martin, Isabelle Quidu