Balanced Active Learning Method for Image Classification
نویسندگان
چکیده
منابع مشابه
Active Learning with Ensembles for Image Classification
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant reduction in required expert involvement ...
متن کاملActive Learning with Ensembles for Image Classification
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant reduction in required expert involvement ...
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Obtaining labeled data for supervised classification of remotely sensed imagery is expensive and time consuming. Further, manual selection of the training set is often subjective and tends to induce redundancy into the supervised classifier, thus considerably slowing the training phase. Active learning (AL) integrates data acquisition with the classifier design by ranking the unlabeled data to ...
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Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...
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In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional data is proposed. The basic concept of the algorithm is based on the active learning method (ALM) which is a fuzzy learning scheme, inspired by some behavioral features of human brain functionality. High-dimensional unsupervised active learning method (HUALM) is a clustering algorithm which blurs the da...
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ژورنال
عنوان ژورنال: Acta Cybernetica
سال: 2017
ISSN: 0324-721X
DOI: 10.14232/actacyb.23.2.2017.13