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» A Robust Minimax Approach to Classification
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ICDAR
2009
IEEE
13 years 5 months ago
Graph b-Coloring for Automatic Recognition of Documents
In order to reduce the rejection rate of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage...
Djamel Gaceb, Véronique Eglin, Frank Lebour...
ICRA
2010
IEEE
107views Robotics» more  ICRA 2010»
13 years 6 months ago
Using stereo for object recognition
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
Scott Helmer, David G. Lowe
PSIVT
2007
Springer
354views Multimedia» more  PSIVT 2007»
14 years 1 months ago
Real-Time Hand Gesture Detection and Recognition Using Boosted Classifiers and Active Learning
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...
Hardy Francke, Javier Ruiz-del-Solar, Rodrigo Vers...
TCSV
2008
195views more  TCSV 2008»
13 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
MICCAI
2008
Springer
14 years 9 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...