Search techniques in intelligent classification systems:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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[Cham]
Springer
[2016]
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| Schriftenreihe: | SpringerBriefs in optimization
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| Schlagworte: | |
| Online-Zugang: | BTU01 FHR01 FRO01 TUM01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XIII, 82 Seiten, 28 illus., 19 illus. in color) |
| ISBN: | 9783319305158 |
| ISSN: | 2190-8354 |
| DOI: | 10.1007/978-3-319-30515-8 |
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Datensatz im Suchindex
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|---|---|
| adam_text | SEARCH TECHNIQUES IN INTELLIGENT CLASSIFICATION SYSTEMS
/ SAVCHENKO, ANDREY V.
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1.INTELLIGENT CLASSIFICATION SYSTEMS
2. STATISTICAL CLASSIFICATION OF AUDIOVISUAL DATA
3. HIERARCHICAL INTELLIGENT CLASSIFICATION SYSTEMS
4. APPROXIMATE NEAREST NEIGHBOR SEARCH IN INTELLIGENT CLASSIFICATION
SYSTEMS
5. SEARCH IN VOICE CONTROL SYSTEMS
6. CONCLUSION.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
SEARCH TECHNIQUES IN INTELLIGENT CLASSIFICATION SYSTEMS
/ SAVCHENKO, ANDREY V.
: 2016
ABSTRACT / INHALTSTEXT
A UNIFIED METHODOLOGY FOR CATEGORIZING VARIOUS COMPLEX OBJECTS IS
PRESENTED IN THIS BOOK. THROUGH PROBABILITY THEORY, NOVEL ASYMPTOTICALLY
MINIMAX CRITERIA SUITABLE FOR PRACTICAL APPLICATIONS IN IMAGING AND DATA
ANALYSIS ARE EXAMINED INCLUDING THE SPECIAL CASES SUCH AS THE
JENSEN-SHANNON DIVERGENCE AND THE PROBABILISTIC NEURAL NETWORK. AN
OPTIMAL APPROXIMATE NEAREST NEIGHBOR SEARCH ALGORITHM, WHICH ALLOWS
FASTER CLASSIFICATION OF DATABASES IS FEATURED. ROUGH SET THEORY,
SEQUENTIAL ANALYSIS AND GRANULAR COMPUTING ARE USED TO IMPROVE
PERFORMANCE OF THE HIERARCHICAL CLASSIFIERS. PRACTICAL EXAMPLES IN FACE
IDENTIFICATION (INCLUDING DEEP NEURAL NETWORKS), ISOLATED COMMANDS
RECOGNITION IN VOICE CONTROL SYSTEM AND CLASSIFICATION OF VISEMES
CAPTURED BY THE KINECT DEPTH CAMERA ARE INCLUDED. THIS APPROACH CREATES
FAST AND ACCURATE SEARCH PROCEDURES BY USING EXACT PROBABILITY DENSITIES
OF APPLIED DISSIMILARITY MEASURES. THIS BOOK CAN BE USED AS A GUIDE FOR
INDEPENDENT STUDY AND AS SUPPLEMENTARY MATERIAL FOR A TECHNICALLY
ORIENTED GRADUATE COURSE IN INTELLIGENT SYSTEMS AND DATA MINING.
STUDENTS AND RESEARCHERS INTERESTED IN THE THEORETICAL AND PRACTICAL
ASPECTS OF INTELLIGENT CLASSIFICATION SYSTEMS WILL FIND ANSWERS TO: -
WHY CONVENTIONAL IMPLEMENTATION OF THE NAIVE BAYESIAN APPROACH DOES NOT
WORK WELL IN IMAGE CLASSIFICATION? - HOW TO DEAL WITH INSUFFICIENT
PERFORMANCE OF HIERARCHICAL CLASSIFICATION SYSTEMS? - IS IT POSSIBLE TO
PREVENT AN EXHAUSTIVE SEARCH OF THE NEAREST NEIGHBOR IN A DATABASE?
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Savčenko, Andrej Vladimirovič |
| author_GND | (DE-588)1104280302 |
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| dewey-full | 519.6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.6 |
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| dewey-sort | 3519.6 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-319-30515-8 |
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| indexdate | 2024-07-10T07:29:22Z |
| institution | BVB |
| isbn | 9783319305158 |
| issn | 2190-8354 |
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| spelling | Savčenko, Andrej Vladimirovič Verfasser (DE-588)1104280302 aut Search techniques in intelligent classification systems Andrey V. Savchenko [Cham] Springer [2016] © 2016 1 Online-Ressource (XIII, 82 Seiten, 28 illus., 19 illus. in color) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in optimization 2190-8354 Mathematics Pattern recognition Potential theory (Mathematics) System theory Mathematical optimization Machinery Optimization Pattern Recognition Machinery and Machine Elements Systems Theory, Control Complex Systems Potential Theory Mathematik Erscheint auch als Druckausgabe 978-3-319-30513-4 https://doi.org/10.1007/978-3-319-30515-8 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=028994262&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=028994262&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Savčenko, Andrej Vladimirovič Search techniques in intelligent classification systems Mathematics Pattern recognition Potential theory (Mathematics) System theory Mathematical optimization Machinery Optimization Pattern Recognition Machinery and Machine Elements Systems Theory, Control Complex Systems Potential Theory Mathematik |
| title | Search techniques in intelligent classification systems |
| title_auth | Search techniques in intelligent classification systems |
| title_exact_search | Search techniques in intelligent classification systems |
| title_full | Search techniques in intelligent classification systems Andrey V. Savchenko |
| title_fullStr | Search techniques in intelligent classification systems Andrey V. Savchenko |
| title_full_unstemmed | Search techniques in intelligent classification systems Andrey V. Savchenko |
| title_short | Search techniques in intelligent classification systems |
| title_sort | search techniques in intelligent classification systems |
| topic | Mathematics Pattern recognition Potential theory (Mathematics) System theory Mathematical optimization Machinery Optimization Pattern Recognition Machinery and Machine Elements Systems Theory, Control Complex Systems Potential Theory Mathematik |
| topic_facet | Mathematics Pattern recognition Potential theory (Mathematics) System theory Mathematical optimization Machinery Optimization Pattern Recognition Machinery and Machine Elements Systems Theory, Control Complex Systems Potential Theory Mathematik |
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