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» Feature Selection and Effective Classifiers
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ICML
2004
IEEE
14 years 9 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ICDAR
2003
IEEE
14 years 2 months ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens
CVPR
2011
IEEE
13 years 12 days ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 10 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
CIKM
2010
Springer
13 years 6 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan