Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints

We propose a new weakly supervised approach for classification and clustering based on mixture models. Our approach integrates multi-level pairwise group and class constraints between samples to learn the underlying group structure of the data and propagate (scarce) initial labels to unlabelled data...

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書誌詳細

主要な著者:	Adama Nouboukpo, Mohand Saïd Allili
フォーマット:	Artigo
言語:	Inglês
出版事項:	LibraryPress@UF 2021-04-01
シリーズ:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
主題:	semi supervised learning gaussian mixture model em algorithm group constraints image segmentation
オンライン･アクセス:	https://journals.flvc.org/FLAIRS/article/view/128490
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