Open Problems in Spectral Dimensionality Reduction:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2014
|
| Schriftenreihe: | SpringerBriefs in Computer Science
|
| Schlagworte: | |
| Online-Zugang: | TUM01 UPA01 UBR01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (IX, 92 Seiten) |
| ISBN: | 9783319039435 9781306543941 |
| DOI: | 10.1007/978-3-319-03943-5 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804151868091269120 |
|---|---|
| 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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| discipline | Chemie / Pharmazie Informatik |
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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 Computerunterstütztes Verfahren (DE-588)4139030-1 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Spektrale Filterung (DE-588)4273436-8 gnd rswk-swf Datenstruktur (DE-588)4011146-5 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 Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Spektrale Filterung (DE-588)4273436-8 gnd Datenstruktur (DE-588)4011146-5 gnd |
| subject_GND | (DE-588)4139030-1 (DE-588)4033447-8 (DE-588)4273436-8 (DE-588)4011146-5 |
| 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 | Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Spektrale Filterung (DE-588)4273436-8 gnd Datenstruktur (DE-588)4011146-5 gnd |
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