Generalization with deep learning: for improvement on sensing capability
"Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Singapore
World Scientific
2021
|
| Schlagwörter: | |
| Links: | https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc |
| Zusammenfassung: | "Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 online resource (xii, 314 pages) |
| ISBN: | 9789811218842 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047287916 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210518s2021 xx o|||| 00||| eng d | ||
| 020 | |a 9789811218842 |9 978-981-121-884-2 | ||
| 035 | |a (ZDB-124-WOP)00011784 | ||
| 035 | |a (OCoLC)1252705764 | ||
| 035 | |a (DE-599)BVBBV047287916 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 006.3/1 | |
| 245 | 1 | 0 | |a Generalization with deep learning |b for improvement on sensing capability |c edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| 264 | 1 | |a Singapore |b World Scientific |c 2021 | |
| 300 | |a 1 online resource (xii, 314 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a "Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website | ||
| 650 | 4 | |a Electronic surveillance |x Data processing | |
| 650 | 4 | |a Remote sensing |x Data processing | |
| 650 | 4 | |a Diagnostic imaging |x Data processing | |
| 650 | 4 | |a Machine learning | |
| 653 | |a Electronic books | ||
| 700 | 1 | |a Chen, Zhenghua |4 edt | |
| 700 | 1 | |a Wu, Min |d 1974- |4 edt | |
| 700 | 1 | |a Li, Xiao-Li |d 1969- |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9789811218835 |
| 856 | 4 | 0 | |u https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-124-WOP | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032691325 | |
Datensatz im Suchindex
| _version_ | 1818987970640740352 |
|---|---|
| any_adam_object | |
| author2 | Chen, Zhenghua Wu, Min 1974- Li, Xiao-Li 1969- |
| author2_role | edt edt edt |
| author2_variant | z c zc m w mw x l l xll |
| author_facet | Chen, Zhenghua Wu, Min 1974- Li, Xiao-Li 1969- |
| building | Verbundindex |
| bvnumber | BV047287916 |
| collection | ZDB-124-WOP |
| ctrlnum | (ZDB-124-WOP)00011784 (OCoLC)1252705764 (DE-599)BVBBV047287916 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02435nam a2200409zc 4500</leader><controlfield tag="001">BV047287916</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210518s2021 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811218842</subfield><subfield code="9">978-981-121-884-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-124-WOP)00011784</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1252705764</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047287916</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generalization with deep learning</subfield><subfield code="b">for improvement on sensing capability</subfield><subfield code="c">edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">World Scientific</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xii, 314 pages)</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="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic surveillance</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Remote sensing</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diagnostic imaging</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Electronic books</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Zhenghua</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Min</subfield><subfield code="d">1974-</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Xiao-Li</subfield><subfield code="d">1969-</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9789811218835</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-124-WOP</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032691325</subfield></datafield></record></collection> |
| id | DE-604.BV047287916 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:15:09Z |
| institution | BVB |
| isbn | 9789811218842 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032691325 |
| oclc_num | 1252705764 |
| open_access_boolean | |
| physical | 1 online resource (xii, 314 pages) |
| psigel | ZDB-124-WOP |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore Singapore World Scientific 2021 1 online resource (xii, 314 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning Electronic books Chen, Zhenghua edt Wu, Min 1974- edt Li, Xiao-Li 1969- edt Erscheint auch als Druck-Ausgabe 9789811218835 https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Generalization with deep learning for improvement on sensing capability Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning |
| title | Generalization with deep learning for improvement on sensing capability |
| title_auth | Generalization with deep learning for improvement on sensing capability |
| title_exact_search | Generalization with deep learning for improvement on sensing capability |
| title_full | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| title_fullStr | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| title_full_unstemmed | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| title_short | Generalization with deep learning |
| title_sort | generalization with deep learning for improvement on sensing capability |
| title_sub | for improvement on sensing capability |
| topic | Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning |
| topic_facet | Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc |
| work_keys_str_mv | AT chenzhenghua generalizationwithdeeplearningforimprovementonsensingcapability AT wumin generalizationwithdeeplearningforimprovementonsensingcapability AT lixiaoli generalizationwithdeeplearningforimprovementonsensingcapability |