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Found 4 from your keywords: author="Celebi, M. Emre"
cover
Unsupervised Learning Algorithms
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Celebi, M. EmreAYDIN, Kemal

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous appli…

Edition
-
ISBN/ISSN
978-3-319-24211-8
Collation
-
Series Title
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Call Number
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cover
Unsupervised Learning Algorithms
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Celebi, M. EmreAYDIN, Kemal

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous appli…

Edition
-
ISBN/ISSN
978-3-319-24211-8
Collation
59 b/w illustrations, 101 illustrations in colour
Series Title
-
Call Number
-
cover
Advances in Face Detection and Facial Image Analysis
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Celebi, M. EmreKawulok, MichalSmolka, Bogdan

This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial ex…

Edition
Ed. 1
ISBN/ISSN
978-3-319-25958-1
Collation
X, 434
Series Title
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Call Number
004.2 ADV a
cover
Partitional Clustering Algorithms
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Celebi, M. Emre

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the f…

Edition
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ISBN/ISSN
978-3-319-09259-1
Collation
X, 415 halaman
Series Title
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Call Number
518.1 CEL p