Advances in independent component analysis and learning machines /

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have dev...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bingham, Ella (Editor ), Kaski, Samuel (Editor ), Laaksonen, Jorma (Editor ), Lampinen, Jouko (Editor ), Oja, Erkki (honouree.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Academic Press, 2015.
Temas:
Pattern recognition systems.
Image processing > Digital techniques.
Machine learning.
Pattern Recognition, Automated
Machine Learning
Reconnaissance des formes (Informatique)
Traitement d'images > Techniques num�eriques.
Apprentissage automatique.
digital imaging.
COMPUTERS > General.
Image processing > Digital techniques
Machine learning
Pattern recognition systems
Festschriften
Festschriften.
Acceso en línea:Texto completo
Descripción
Sumario:In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithmUnsupervised deep learning Machine vision and image retrieval A review of developments in the t.
Notas:Includes index.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references at the end of each chapters and index.
ISBN:9780128028070
0128028076
0128028068
9780128028063

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