Applied pattern recognition

A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become...

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Autore principale: Bunke, Horst
Altri autori: Kandel, Abraham (Redattore), Last, Mark (Redattore, Direttore editoriale), Bunke, Horst, 1949- (Direttore editoriale), Kandel, Abraham, 1941- (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizione:1st ed. 2008.
Serie:Studies in Computational Intelligence 91
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Applied Pattern Recognition, Texte imprimé, 9783642095542
• Applied Pattern Recognition, Texte imprimé, 9783540846024
• Applied pattern recognition, Horst Bunke, Abraham Kandel, Mark Last, (eds.), Berlin, Springer, 2008, 1 vol. (XI-245 p.), Studies in computational intelligence, 978-3-540-76830-2
• Applied Pattern Recognition, Texte imprimé, 9783642095542
• Applied Pattern Recognition, Texte imprimé, 9783540846024
• Applied pattern recognition, Horst Bunke, Abraham Kandel, Mark Last, (eds.), Berlin, Springer, 2008, 1 vol. (XI-245 p.), Studies in computational intelligence, 978-3-540-76830-2
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505 1 |a Face Recognition Applications Skin-based Face Detection-Extraction and Recognition of Facial Expressions Facial Image Processing Face Recognition and Pose Estimation with Parametric Linear Subspaces Spatio-Temporal Patterns 4D Segmentation of Cardiac Data Using Active Surfaces with Spatiotemporal Shape Priors Measuring Similarity Between Trajectories of Mobile Objects Graph-Based Methods Matching of Hypergraphs Algorithms, Applications, and Experiments Feature-Driven Emergence of Model Graphs for Object Recognition and Categorization Special Applications A Wavelet-based Statistical Method for Chinese Writer Identification Texture Analysis by Accurate Identification of a Generic Markov Gibbs Model. 
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520 |a A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new tasks characterized by tight real-time requirements (e.g., person identification) and/or high complexity of raw data (e.g., clustering trajectories of mobile objects). The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains. 
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