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» Data selection for support vector machine classifiers
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ICCV
2009
IEEE
15 years 3 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
ICDE
2008
IEEE
126views Database» more  ICDE 2008»
15 years 4 months ago
Monitoring the evolution of interests in the blogosphere
— We describe blogTrust, an innovative modular and extensible prototype application for monitoring changes in the interests of blogosphere participants. We also propose a new app...
Iraklis Varlamis, Vasilis Vassalos, Antonis Palaio...
BMCBI
2006
85views more  BMCBI 2006»
14 years 9 months ago
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
Rui Jiang, Hua Yang, Fengzhu Sun, Ting Chen
ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
15 years 3 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
MCS
2005
Springer
15 years 3 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...