Dimensionality Reduction
Seiten
2015
Chapman & Hall/CRC (Verlag)
978-1-58488-653-2 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-58488-653-2 (ISBN)
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Dimensionality reduction (DR) refers to the problem of projecting high-dimensional data onto a low-dimensional manifold so that relevant information is preserved. This book provides an overview of methods for DR including real-world applications taken from areas such as speech processing and computer vision.
Dimensionality reduction (DR) refers to the problem of projecting high-dimensional data onto a low-dimensional manifold so that relevant information is preserved. DR arises in many application areas where direct processing of the data is too costly. Through a machine-learning perspective that focuses on algorithms rather than theory, Dimensionality Reduction provides an overview of methods for DR including real-world applications taken from areas such as speech processing and computer vision. Interest in this area has exploded in recent years, making it a growing field of research. This book serves as the first reference for interested graduate students and researchers.
Dimensionality reduction (DR) refers to the problem of projecting high-dimensional data onto a low-dimensional manifold so that relevant information is preserved. DR arises in many application areas where direct processing of the data is too costly. Through a machine-learning perspective that focuses on algorithms rather than theory, Dimensionality Reduction provides an overview of methods for DR including real-world applications taken from areas such as speech processing and computer vision. Interest in this area has exploded in recent years, making it a growing field of research. This book serves as the first reference for interested graduate students and researchers.
Oregon Health & Science University, Beauerton, USA Rutgers University, New Brunswick, New Jersey, USA Carnegie Mellon University, Pennsylvania, USA Royal Holloway University of London, UK University of California, Irvine, California, USA
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Erscheint lt. Verlag | 15.6.2015 |
---|---|
Reihe/Serie | Chapman & Hall/CRC Computer Science & Data Analysis |
Mitarbeit |
Herausgeber (Serie): David Madigan, John Lafferty, Fionn Murtagh, Padhraic Smyth |
Sprache | englisch |
Maße | 156 x 234 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 1-58488-653-6 / 1584886536 |
ISBN-13 | 978-1-58488-653-2 / 9781584886532 |
Zustand | Neuware |
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