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ISCIS
2003
Springer
15 years 9 months ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
DAS
2010
Springer
15 years 3 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 10 months ago
An Optimized Key-Frames Extraction Scheme Based on SVD and Correlation Minimization
In this paper an optimized and efficient technique for keyframes extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each g...
Klimis S. Ntalianis, Stefanos D. Kollias
ICML
2007
IEEE
16 years 5 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
KDD
2001
ACM
153views Data Mining» more  KDD 2001»
16 years 4 months ago
Evaluation of prediction models for marketing campaigns
We consider prediction-model evaluation in the context of marketing-campaign planning. In order to evaluate and compare models with specific campaign objectives in mind, we need t...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...