Bi-directional class-wise adversaries for unsupervised domain adaptation
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DOI: 10.1007/s10489-021-02609-7
Abstract: Unsupervised domain adaptation relies on well-labeled auxiliary source domain information to get better performance on the unlabeled target domain. It has shown tremendous importance for various classification and segmentation problems. Classical methods rely on diminishing… read more here.
Keywords: class; class wise; domain adaptation; domain ... See more keywords
Class-wise dictionary learning for hyperspectral image classification
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DOI: 10.1016/j.neucom.2016.05.101
Abstract: Abstract In order to effectively exploit the intra-class and inter-class structure information, we propose a new class-wise dictionary learning method for hyperspectral image classification. First, we construct two special manifold regularizers to encourage intra-class basis… read more here.
Keywords: classification; wise dictionary; class; class wise ... See more keywords
Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification
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DOI: 10.1016/j.neucom.2018.09.022
Abstract: Abstract Over the past decade, discriminative dictionary learning (DDL) has demonstrated the great success in various pattern classification problems. However, in previous DDL methods, the scheme that how to generate the effective coding coefficients for… read more here.
Keywords: class wise; classification; discriminative dictionary; coding coefficients ... See more keywords
Fast Class-Wise Updating for Online Hashing
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DOI: 10.1109/tpami.2020.3042193
Abstract: Online image hashing has received increasing research attention recently, which processes large-scale data in a streaming fashion to update the hash functions on-the-fly. To this end, most existing works exploit this problem under a supervised… read more here.
Keywords: wise updating; class wise; online hashing; class ... See more keywords