Feature and Dimensionality Reduction for Clustering with Deep Learning

Author:   Frederic Ros ,  Rabia Riad
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031487422


Pages:   268
Publication Date:   03 January 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Feature and Dimensionality Reduction for Clustering with Deep Learning


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Author:   Frederic Ros ,  Rabia Riad
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
Weight:   0.588kg
ISBN:  

9783031487422


ISBN 10:   3031487427
Pages:   268
Publication Date:   03 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Frederic Ros has an engineering degree in Microelectronics and Automation, a master’s in Robotics from Montpellier University, and a Ph.D. from ENGREF (Ecole Nationale du Genie Rural des Eaux et Forets, now AgroParistech), Paris. He began his career in 1991 as a research scientist working on the field of image analysis for robotics and artificial systems from IRSTEA (now INRAE). He managed the vision activity in GEMALTO (now THALES) for 14 years which is the world leader in the smart card industry. He was particularly involved in applied developments (related to machine vision, AI, data analysis, fuzzy logic, and supervised classification algorithms) with the aim of providing adaptive and self-tuning systems corresponding to the growing complexity of industrial processes and especially multidisciplinary interactions. Professor at Orleans University, he has been an associate researcher at PRISME laboratory (signal and image processing) for 15 years, focusing his research on machine learning algorithms in the big data context. In parallel, he has headed an innovation park for 12 years and recently designed and structured a digital start-up incubator.   Rabia Riad received the Habilitation degree (HDR) in 2022, from the Ibn Zohr University - Morocco, and the Ph.D. degree in Computer Science from the University of Orleans - France, in 2015. He was a Postdoctoral Fellow at the University of Orleans between 2016 and 2018. Since 2018, he has been with Ibn Zohr University as an Assistant Professor, where he is currently an Associate Professor, since 2022. His research interests include computer vision, artificial intelligence, data analysis, and supervised and unsupervised classification algorithms.

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