Subspace methods for pattern recognition in intelligent environment:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2014
|
| Schriftenreihe: | Studies in computational intelligence
552 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783642548512 |
| DOI: | 10.1007/978-3-642-54851-2 |
Internformat
MARC
| LEADER | 00000nmm a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV041888378 | ||
| 003 | DE-604 | ||
| 005 | 20140721 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 140602s2014 |||| o||u| ||||||eng d | ||
| 020 | |a 9783642548512 |c Online |9 978-3-642-54851-2 | ||
| 024 | 7 | |a 10.1007/978-3-642-54851-2 |2 doi | |
| 035 | |a (OCoLC)879505783 | ||
| 035 | |a (DE-599)BSZ405482310 | ||
| 040 | |a DE-604 |b ger | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-Aug4 |a DE-573 |a DE-859 |a DE-92 |a DE-898 |a DE-634 |a DE-861 |a DE-706 |a DE-863 |a DE-862 | ||
| 050 | 0 | |a TA329-348 | |
| 050 | 0 | |a TA640-643 | |
| 082 | 0 | |a 004 | |
| 084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
| 084 | |a MAT003000 |2 sdnb | ||
| 084 | |a TBJ |2 sdnb | ||
| 245 | 1 | 0 | |a Subspace methods for pattern recognition in intelligent environment |c Yen-Wei Chen ..., eds. |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2014 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 1 | |a Studies in computational intelligence |v 552 | |
| 650 | 4 | |a Ingenieurwissenschaften | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Optical pattern recognition | |
| 650 | 4 | |a Engineering mathematics | |
| 650 | 4 | |a Engineering | |
| 650 | 0 | 7 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Hochdimensionale Daten |0 (DE-588)7862975-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Dimensionsreduktion |0 (DE-588)4224279-4 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 689 | 0 | 0 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 0 | 1 | |a Hochdimensionale Daten |0 (DE-588)7862975-5 |D s |
| 689 | 0 | 2 | |a Dimensionsreduktion |0 (DE-588)4224279-4 |D s |
| 689 | 0 | 3 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Chen, Yen-Wei |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-3-642-5485-0-5 |
| 830 | 0 | |a Studies in computational intelligence |v 552 |w (DE-604)BV020822171 |9 552 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-642-54851-2 |x Verlag |3 Volltext |
| 856 | 4 | 2 | |m Springer Fremddatenuebernahme |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027332353&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m Springer Fremddatenuebernahme |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027332353&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Abstract |
| 912 | |a ZDB-2-ENG | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027332353 | ||
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l BTU01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FHA01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FHI01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FHN01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FHR01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FKE01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FRO01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FWS01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l FWS02 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-642-54851-2 |l UBY01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
Datensatz im Suchindex
| DE-BY-FWS_katkey | 1016099 |
|---|---|
| _version_ | 1806174845654794240 |
| adam_text | SUBSPACE METHODS FOR PATTERN RECOGNITION IN INTELLIGENT ENVIRONMENT
/
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
ACTIVE SHAPE MODEL AND ITS APPLICATION TO FACE ALIGNMENT
CONDITION RELAXATION IN CONDITIONAL STATISTICAL SHAPE MODELS
INDEPENDENT COMPONENT ANALYSIS AND ITS APPLICATION TO CLASSIFICATION
OF HIGH-RESOLUTION REMOTE SENSING IMAGES
SUBSPACE CONSTRUCTION FROM ARTIFICIALLY GENERATED IMAGES FOR TRAFFIC
SIGN RECOGNITION
LOCAL STRUCTURE PRESERVING BASED SUBSPACE ANALYSIS METHODS AND
APPLICATIONS
SPARSE REPRESENTATION FOR IMAGE SUPER-RESOLUTION
SAMPLING AND RECOVERY OF CONTINUOUSLY-DEFINED SPARSE SIGNALS AND ITS
APPLICATIONS
TENSOR-BASED SUBSPACE LEARNING FOR MULTI-POSE FACE SYNTHESIS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
SUBSPACE METHODS FOR PATTERN RECOGNITION IN INTELLIGENT ENVIRONMENT
/
: 2014
ABSTRACT / INHALTSTEXT
THIS RESEARCH BOOK PROVIDES A COMPREHENSIVE OVERVIEW OF THE
STATE-OF-THE-ART SUBSPACE LEARNING METHODS FOR PATTERN RECOGNITION IN
INTELLIGENT ENVIRONMENT. WITH THE FAST DEVELOPMENT OF INTERNET AND
COMPUTER TECHNOLOGIES, THE AMOUNT OF AVAILABLE DATA IS RAPIDLY
INCREASING IN OUR DAILY LIFE. HOW TO EXTRACT CORE INFORMATION OR USEFUL
FEATURES IS AN IMPORTANT ISSUE. SUBSPACE METHODS ARE WIDELY USED FOR
DIMENSION REDUCTION AND FEATURE EXTRACTION IN PATTERN RECOGNITION. THEY
TRANSFORM A HIGH-DIMENSIONAL DATA TO A LOWER-DIMENSIONAL SPACE
(SUBSPACE), WHERE MOST INFORMATION IS RETAINED. THE BOOK COVERS A BROAD
SPECTRUM OF SUBSPACE METHODS INCLUDING LINEAR, NONLINEAR AND MULTILINEAR
SUBSPACE LEARNING METHODS AND APPLICATIONS. THE APPLICATIONS INCLUDE
FACE ALIGNMENT, FACE RECOGNITION, MEDICAL IMAGE ANALYSIS, REMOTE SENSING
IMAGE CLASSIFICATION, TRAFFIC SIGN RECOGNITION, IMAGE CLUSTERING, SUPER
RESOLUTION, EDGE DETECTION, MULTI-VIEW FACIAL IMAGE SYNTHESIS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author2 | Chen, Yen-Wei |
| author2_role | edt |
| author2_variant | y w c ywc |
| author_facet | Chen, Yen-Wei |
| building | Verbundindex |
| bvnumber | BV041888378 |
| callnumber-first | T - Technology |
| callnumber-label | TA329-348 |
| callnumber-raw | TA329-348 TA640-643 |
| callnumber-search | TA329-348 TA640-643 |
| callnumber-sort | TA 3329 3348 |
| callnumber-subject | TA - General and Civil Engineering |
| classification_rvk | ST 330 |
| collection | ZDB-2-ENG |
| ctrlnum | (OCoLC)879505783 (DE-599)BSZ405482310 |
| dewey-full | 004 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-642-54851-2 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03622nmm a2200733 cb4500</leader><controlfield tag="001">BV041888378</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20140721 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">140602s2014 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783642548512</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-642-54851-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-642-54851-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)879505783</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BSZ405482310</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-634</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA329-348</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA640-643</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT003000</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">TBJ</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Subspace methods for pattern recognition in intelligent environment</subfield><subfield code="c">Yen-Wei Chen ..., eds.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin [u.a.]</subfield><subfield code="b">Springer</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Studies in computational intelligence</subfield><subfield code="v">552</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ingenieurwissenschaften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical pattern recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hochdimensionale Daten</subfield><subfield code="0">(DE-588)7862975-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Dimensionsreduktion</subfield><subfield code="0">(DE-588)4224279-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Hochdimensionale Daten</subfield><subfield code="0">(DE-588)7862975-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Dimensionsreduktion</subfield><subfield code="0">(DE-588)4224279-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Yen-Wei</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-3-642-5485-0-5</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Studies in computational intelligence</subfield><subfield code="v">552</subfield><subfield code="w">(DE-604)BV020822171</subfield><subfield code="9">552</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Springer Fremddatenuebernahme</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027332353&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Springer Fremddatenuebernahme</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027332353&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027332353</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-642-54851-2</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV041888378 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T10:56:00Z |
| institution | BVB |
| isbn | 9783642548512 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027332353 |
| oclc_num | 879505783 |
| open_access_boolean | |
| owner | DE-Aug4 DE-573 DE-859 DE-92 DE-898 DE-BY-UBR DE-634 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| owner_facet | DE-Aug4 DE-573 DE-859 DE-92 DE-898 DE-BY-UBR DE-634 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 Online-Ressource |
| psigel | ZDB-2-ENG |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Subspace methods for pattern recognition in intelligent environment Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Optical pattern recognition Engineering mathematics Engineering Merkmalsextraktion (DE-588)4314440-8 gnd Hochdimensionale Daten (DE-588)7862975-5 gnd Mustererkennung (DE-588)4040936-3 gnd Dimensionsreduktion (DE-588)4224279-4 gnd |
| subject_GND | (DE-588)4314440-8 (DE-588)7862975-5 (DE-588)4040936-3 (DE-588)4224279-4 (DE-588)4143413-4 |
| title | Subspace methods for pattern recognition in intelligent environment |
| title_auth | Subspace methods for pattern recognition in intelligent environment |
| title_exact_search | Subspace methods for pattern recognition in intelligent environment |
| title_full | Subspace methods for pattern recognition in intelligent environment Yen-Wei Chen ..., eds. |
| title_fullStr | Subspace methods for pattern recognition in intelligent environment Yen-Wei Chen ..., eds. |
| title_full_unstemmed | Subspace methods for pattern recognition in intelligent environment Yen-Wei Chen ..., eds. |
| title_short | Subspace methods for pattern recognition in intelligent environment |
| title_sort | subspace methods for pattern recognition in intelligent environment |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Optical pattern recognition Engineering mathematics Engineering Merkmalsextraktion (DE-588)4314440-8 gnd Hochdimensionale Daten (DE-588)7862975-5 gnd Mustererkennung (DE-588)4040936-3 gnd Dimensionsreduktion (DE-588)4224279-4 gnd |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Optical pattern recognition Engineering mathematics Engineering Merkmalsextraktion Hochdimensionale Daten Mustererkennung Dimensionsreduktion Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-642-54851-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027332353&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=027332353&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT chenyenwei subspacemethodsforpatternrecognitioninintelligentenvironment |