Discriminative models for robust image classification

A variety of real-world tasks involve the classification of images into pre-determined categories. Designing image classification algorithms that exhibit robustness to acquisition noise and image distortions, particularly when the available training data are insufficient to learn accurate models, is...

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Bibliographische Detailangaben

1. Verfasser:	Srinivas, Umamahesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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