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[null,"1.","Record Nr.",null,"UNINA9910736023303321"]
[null,null,"Autore",null,"Nayak Richi"]
[null,null,"Titolo",null,"Multi-aspect Learning : Methods and Applications / / by Richi Nayak, Khanh Luong"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031335600"]
[{"$nulls":4},"3031335600"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (191 pages)"]
[null,null,"Collana",null,"Intelligent Systems Reference Library, , 1868-4408 ; ; 242"]
[null,null,"Disciplina",null,"620.00285"]
[null,null,"Soggetti",null,"Engineering—Data processing"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Data Engineering"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1 Multi-Aspect Data Learning: Overview, Challenges and Approaches -- 2 Non-negative Matrix Factorization-Based Multi-Aspect Data Clustering -- 3 NMF and Manifold Learning for Multi-Aspect Data -- 4 Subspace Learning for Multi-Aspect Data -- 5 Spectral Clustering on Multi-Aspect Data -- 6 Learning Consensus and Complementary Information for Multi-Aspect Data Clustering -- 7 Deep Learning-Based Methods for Multi-Aspect Data Clustering."]
[null,null,null,"Sommario/riassunto","This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough "]
[{"$nulls":4},"discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field."]
[null,"2.","Record Nr.",null,"UNIORUON00350075"]
[null,null,"Autore",null,"SEKIK, Nozha"]
[null,null,"Titolo",null,"La Poterie model\u0082e en Tunisie : un patrimoine ancestral : Inventaire de la collection de poterie model\u0082e (R\u0082serve nationale/INP, Ksar Said)/ Nozha Sekik"]
[null,null,"Pubbl/distr/stampa",null,"135 p., : ill. ; 30 cm"]
[null,null,"ISBN",null,"978-99-7391-272-5"]
[null,null,"Edizione",null,"[Tunis : Institut National du Patrimoine]"]
[null,null,"Descrizione fisica",null,"Nel front.: République Tunisienne. Ministére de la Culture et de la Sauvegarde du Patrimoine"]
[null,null,"Disciplina",null,"709.61"]
[null,null,"Soggetti",null,"Arte - Tunisia"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]