Holdings: Open Problems in Spectral Dimensionality Reduction

Open Problems in Spectral Dimensionality Reduction:

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Bibliographic Details
Main Authors:	Strange, Harry (Author), Zwiggelaar, Reyer (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer 2014
Series:	SpringerBriefs in Computer Science
Subjects:	Künstliche Intelligenz Computerunterstütztes Verfahren Datenstruktur Spektrale Filterung
Online Access:	DE-91 DE-739 DE-355 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (IX, 92 Seiten)
ISBN:	9783319039435 9781306543941
DOI:	10.1007/978-3-319-03943-5

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MARC


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Record in the Search Index

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adam_text	OPEN PROBLEMS IN SPECTRAL DIMENSIONALITY REDUCTION / STRANGE, HARRY : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION SPECTRAL DIMENSIONALITY REDUCTION MODELLING THE MANIFOLD INTRINSIC DIMENSIONALITY INCORPORATING NEW POINTS LARGE SCALE DATA POSTCRIPT DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. OPEN PROBLEMS IN SPECTRAL DIMENSIONALITY REDUCTION / STRANGE, HARRY : 2014 ABSTRACT / INHALTSTEXT THE LAST FEW YEARS HAVE SEEN A GREAT INCREASE IN THE AMOUNT OF DATA AVAILABLE TO SCIENTISTS. DATASETS WITH MILLIONS OF OBJECTS AND HUNDREDS, IF NOT THOUSANDS OF MEASUREMENTS ARE NOW COMMONPLACE IN MANY DISCIPLINES. HOWEVER, MANY OF THE COMPUTATIONAL TECHNIQUES USED TO ANALYSE THIS DATA CANNOT COPE WITH SUCH LARGE DATASETS. THEREFORE, STRATEGIES NEED TO BE EMPLOYED AS A PRE-PROCESSING STEP TO REDUCE THE NUMBER OF OBJECTS, OR MEASUREMENTS, WHILST RETAINING IMPORTANT INFORMATION INHERENT TO THE DATA. SPECTRAL DIMENSIONALITY REDUCTION IS ONE SUCH FAMILY OF METHODS THAT HAS PROVEN TO BE AN INDISPENSABLE TOOL IN THE DATA PROCESSING PIPELINE. IN RECENT YEARS THE AREA HAS GAINED MUCH ATTENTION THANKS TO THE DEVELOPMENT OF NONLINEAR SPECTRAL DIMENSIONALITY REDUCTION METHODS, OFTEN REFERRED TO AS MANIFOLD LEARNING ALGORITHMS. NUMEROUS ALGORITHMS AND IMPROVEMENTS HAVE BEEN PROPOSED FOR THE PURPOSE OF PERFORMING SPECTRAL DIMENSIONALITY REDUCTION, YET THERE IS STILL NO GOLD STANDARD TECHNIQUE. THOSE WISHING TO USE SPECTRAL DIMENSIONALITY REDUCTION WITHOUT PRIOR KNOWLEDGE OF THE FIELD WILL IMMEDIATELY BE CONFRONTED WITH QUESTIONS THAT NEED ANSWERING: WHAT PARAMETER VALUES TO USE? HOW MANY DIMENSIONS SHOULD THE DATA BE EMBEDDED INTO? HOW ARE NEW DATA POINTS INCORPORATED? WHAT ABOUT LARGE-SCALE DATA? FOR MANY, A SEARCH OF THE LITERATURE TO FIND ANSWERS TO THESE QUESTIONS IS IMPRACTICAL, AS SUCH, THERE IS A NEED FOR A CONCISE DISCUSSION INTO THE PROBLEMS THEMSELVES, HOW THEY AFFECT SPECTRAL DIMENSIONALITY REDUCTION, AND HOW THESE PROBLEMS CAN BE OVERCOME. THIS BOOK PROVIDES A SURVEY AND REFERENCE AIMED AT ADVANCED UNDERGRADUATE AND POSTGRADUATE STUDENTS AS WELL AS RESEARCHERS, SCIENTISTS, AND ENGINEERS IN A WIDE RANGE OF DISCIPLINES. DIMENSIONALITY REDUCTION HAS PROVEN USEFUL IN A WIDE RANGE OF PROBLEM DOMAINS AND SO THIS BOOK WILL BE APPLICABLE TO ANYONE WITH A SOLID GROUNDING IN STATISTICS AND COMPUTER SCIENCE SEEKING TO APPLY SPECTRAL DIMENSIONALITY TO THEIR WORK DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Strange, Harry Verfasser (DE-588)104736686X aut Open Problems in Spectral Dimensionality Reduction by Harry Strange, Reyer Zwiggelaar Cham Springer 2014 1 Online-Ressource (IX, 92 Seiten) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Computer Science Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Computerunterstütztes Verfahren (DE-588)4139030-1 gnd rswk-swf Datenstruktur (DE-588)4011146-5 gnd rswk-swf Spektrale Filterung (DE-588)4273436-8 gnd rswk-swf Computerunterstütztes Verfahren (DE-588)4139030-1 s Künstliche Intelligenz (DE-588)4033447-8 s Datenstruktur (DE-588)4011146-5 s Spektrale Filterung (DE-588)4273436-8 s DE-604 Zwiggelaar, Reyer Verfasser (DE-588)1047367084 aut Erscheint auch als Druck-Ausgabe 978-3-319-03942-8 https://doi.org/10.1007/978-3-319-03943-5 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084519&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084519&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Strange, Harry Zwiggelaar, Reyer Open Problems in Spectral Dimensionality Reduction Künstliche Intelligenz (DE-588)4033447-8 gnd Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Datenstruktur (DE-588)4011146-5 gnd Spektrale Filterung (DE-588)4273436-8 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4139030-1 (DE-588)4011146-5 (DE-588)4273436-8
title	Open Problems in Spectral Dimensionality Reduction
title_auth	Open Problems in Spectral Dimensionality Reduction
title_exact_search	Open Problems in Spectral Dimensionality Reduction
title_full	Open Problems in Spectral Dimensionality Reduction by Harry Strange, Reyer Zwiggelaar
title_fullStr	Open Problems in Spectral Dimensionality Reduction by Harry Strange, Reyer Zwiggelaar
title_full_unstemmed	Open Problems in Spectral Dimensionality Reduction by Harry Strange, Reyer Zwiggelaar
title_short	Open Problems in Spectral Dimensionality Reduction
title_sort	open problems in spectral dimensionality reduction
topic	Künstliche Intelligenz (DE-588)4033447-8 gnd Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Datenstruktur (DE-588)4011146-5 gnd Spektrale Filterung (DE-588)4273436-8 gnd
topic_facet	Künstliche Intelligenz Computerunterstütztes Verfahren Datenstruktur Spektrale Filterung
url	https://doi.org/10.1007/978-3-319-03943-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084519&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084519&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT strangeharry openproblemsinspectraldimensionalityreduction AT zwiggelaarreyer openproblemsinspectraldimensionalityreduction

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