Pattern Retrieval in Large Image Databases Using Multiscale Coarse-to-Fine Cascaded Active Learning

Pattern retrieval is a fundamental challenge in machine learning but is often subject to the problem of gathering enough labeled examples of the target pattern, and also to the computational complexity inherent to the training and the evaluation of complex classifier functions on large databases. In...

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Bibliographic Details
Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 7; no. 4; pp. 1127 - 1141
Main Authors:	Blanchart, Pierre, Ferecatu, Marin, Cui, Shiyong, Datcu, Mihai
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.04.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Active learning Algorithms coarse-to-fine testing Computer Science Context Detectors Image databases multiple instance learning (MIL) pattern retrieval Remote sensing Support vector machines support vector machines (SVMs) Training active learning apprentissage d'instance multiple support vector machines coarse-to-fine testing multiple instance learning apprentissage actif test de gros-de-fine Récupération du modèle Pattern retrieval
ISSN:	1939-1404, 2151-1535
Online Access:	Get full text
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