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ICCS
2009
Springer
15 years 4 months ago
Querying for Feature Extraction and Visualization in Climate Modeling
The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate t...
C. Ryan Johnson, Markus Glatter, Wesley Kendall, J...
LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 2 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
IJCAI
2007
14 years 11 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
ICASSP
2008
IEEE
15 years 4 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
MVA
1996
109views Computer Vision» more  MVA 1996»
14 years 11 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka