Artificial neural networks and statistical pattern recognition: old and new connections
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
North-Holland
1991
|
| Schriftenreihe: | Machine intelligence and pattern recognition
v. 11 |
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | Includes bibliographical references and index With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the <Q>curse of dimensionality</Q> is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities |
| Beschreibung: | xiv, 271 pages |
| ISBN: | 0444887407 9780444887405 9781483297873 148329787X |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV044386542 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 170630s1991 |||| o||u| ||||||eng d | ||
| 020 | |a 0444887407 |9 0-444-88740-7 | ||
| 020 | |a 9780444887405 |9 978-0-444-88740-5 | ||
| 020 | |a 9781483297873 |9 978-1-4832-9787-3 | ||
| 020 | |a 148329787X |9 1-4832-9787-X | ||
| 035 | |a (ZDB-33-ESD)ocn645856210 | ||
| 035 | |a (OCoLC)645856210 | ||
| 035 | |a (DE-599)BVBBV044386542 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 | ||
| 082 | 0 | |a 006.3 |2 20 | |
| 084 | |a ST 301 |0 (DE-625)143651: |2 rvk | ||
| 245 | 1 | 0 | |a Artificial neural networks and statistical pattern recognition |b old and new connections |c edited by Ishwar K. Sethi, Anil K. Jain |
| 264 | 1 | |a Amsterdam |b North-Holland |c 1991 | |
| 300 | |a xiv, 271 pages | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Machine intelligence and pattern recognition |v v. 11 | |
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the <Q>curse of dimensionality</Q> is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities | ||
| 650 | 7 | |a Reconhecimento de padroes (engenharia eletrica) |2 larpcal | |
| 650 | 7 | |a Inteligencia artificial |2 larpcal | |
| 650 | 7 | |a Mustererkennung |2 swd | |
| 650 | 7 | |a Neuronales Netz |2 swd | |
| 650 | 7 | |a Aufsatzsammlung |2 swd | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
| 650 | 4 | |a Pattern recognition systems | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
| 655 | 7 | |8 1\p |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 Neuronales Netz |0 (DE-588)4226127-2 |D s |
| 689 | 0 | |8 2\p |5 DE-604 | |
| 700 | 1 | |a Sethi, Ishwar K. |e Sonstige |4 oth | |
| 700 | 1 | |a Jain, Anil K. |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 0-444-88741-5 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 978-0-444-88741-2 |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/bookseries/09230459/11 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-ESD | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029788763 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.sciencedirect.com/science/bookseries/09230459/11 |l FAW01 |p ZDB-33-ESD |q FAW_PDA_ESD |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804177654734127104 |
|---|---|
| any_adam_object | |
| building | Verbundindex |
| bvnumber | BV044386542 |
| classification_rvk | ST 301 |
| collection | ZDB-33-ESD |
| ctrlnum | (ZDB-33-ESD)ocn645856210 (OCoLC)645856210 (DE-599)BVBBV044386542 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| 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>03999nmm a2200637zcb4500</leader><controlfield tag="001">BV044386542</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">170630s1991 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0444887407</subfield><subfield code="9">0-444-88740-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780444887405</subfield><subfield code="9">978-0-444-88740-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781483297873</subfield><subfield code="9">978-1-4832-9787-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">148329787X</subfield><subfield code="9">1-4832-9787-X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-ESD)ocn645856210</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)645856210</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044386542</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">20</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 301</subfield><subfield code="0">(DE-625)143651:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial neural networks and statistical pattern recognition</subfield><subfield code="b">old and new connections</subfield><subfield code="c">edited by Ishwar K. Sethi, Anil K. Jain</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam</subfield><subfield code="b">North-Holland</subfield><subfield code="c">1991</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiv, 271 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="490" ind1="0" ind2=" "><subfield code="a">Machine intelligence and pattern recognition</subfield><subfield code="v">v. 11</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the <Q>curse of dimensionality</Q> is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reconhecimento de padroes (engenharia eletrica)</subfield><subfield code="2">larpcal</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Inteligencia artificial</subfield><subfield code="2">larpcal</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mustererkennung</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Neuronales Netz</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Neural networks (Computer science)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pattern recognition systems</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern recognition systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</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">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><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">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sethi, Ishwar K.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jain, Anil K.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">0-444-88741-5</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">978-0-444-88741-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/bookseries/09230459/11</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-33-ESD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029788763</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/bookseries/09230459/11</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV044386542 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:51:31Z |
| institution | BVB |
| isbn | 0444887407 9780444887405 9781483297873 148329787X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029788763 |
| oclc_num | 645856210 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | xiv, 271 pages |
| psigel | ZDB-33-ESD ZDB-33-ESD FAW_PDA_ESD |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| publisher | North-Holland |
| record_format | marc |
| series2 | Machine intelligence and pattern recognition |
| spelling | Artificial neural networks and statistical pattern recognition old and new connections edited by Ishwar K. Sethi, Anil K. Jain Amsterdam North-Holland 1991 xiv, 271 pages txt rdacontent c rdamedia cr rdacarrier Machine intelligence and pattern recognition v. 11 Includes bibliographical references and index With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the <Q>curse of dimensionality</Q> is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities Reconhecimento de padroes (engenharia eletrica) larpcal Inteligencia artificial larpcal Mustererkennung swd Neuronales Netz swd Aufsatzsammlung swd Neural networks (Computer science) fast Pattern recognition systems fast Pattern recognition systems Neural networks (Computer science) Mustererkennung (DE-588)4040936-3 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Mustererkennung (DE-588)4040936-3 s Neuronales Netz (DE-588)4226127-2 s 2\p DE-604 Sethi, Ishwar K. Sonstige oth Jain, Anil K. Sonstige oth Erscheint auch als Druck-Ausgabe, Paperback 0-444-88741-5 Erscheint auch als Druck-Ausgabe, Paperback 978-0-444-88741-2 http://www.sciencedirect.com/science/bookseries/09230459/11 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Artificial neural networks and statistical pattern recognition old and new connections Reconhecimento de padroes (engenharia eletrica) larpcal Inteligencia artificial larpcal Mustererkennung swd Neuronales Netz swd Aufsatzsammlung swd Neural networks (Computer science) fast Pattern recognition systems fast Pattern recognition systems Neural networks (Computer science) Mustererkennung (DE-588)4040936-3 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4226127-2 (DE-588)4143413-4 |
| title | Artificial neural networks and statistical pattern recognition old and new connections |
| title_auth | Artificial neural networks and statistical pattern recognition old and new connections |
| title_exact_search | Artificial neural networks and statistical pattern recognition old and new connections |
| title_full | Artificial neural networks and statistical pattern recognition old and new connections edited by Ishwar K. Sethi, Anil K. Jain |
| title_fullStr | Artificial neural networks and statistical pattern recognition old and new connections edited by Ishwar K. Sethi, Anil K. Jain |
| title_full_unstemmed | Artificial neural networks and statistical pattern recognition old and new connections edited by Ishwar K. Sethi, Anil K. Jain |
| title_short | Artificial neural networks and statistical pattern recognition |
| title_sort | artificial neural networks and statistical pattern recognition old and new connections |
| title_sub | old and new connections |
| topic | Reconhecimento de padroes (engenharia eletrica) larpcal Inteligencia artificial larpcal Mustererkennung swd Neuronales Netz swd Aufsatzsammlung swd Neural networks (Computer science) fast Pattern recognition systems fast Pattern recognition systems Neural networks (Computer science) Mustererkennung (DE-588)4040936-3 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Reconhecimento de padroes (engenharia eletrica) Inteligencia artificial Mustererkennung Neuronales Netz Aufsatzsammlung Neural networks (Computer science) Pattern recognition systems |
| url | http://www.sciencedirect.com/science/bookseries/09230459/11 |
| work_keys_str_mv | AT sethiishwark artificialneuralnetworksandstatisticalpatternrecognitionoldandnewconnections AT jainanilk artificialneuralnetworksandstatisticalpatternrecognitionoldandnewconnections |