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2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
| 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2007 |
| Descrizione fisica | 1 online resource |
| Disciplina | 621.3819598 |
| Soggetto topico | Pattern recognition systems |
| ISBN | 1-5090-9068-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910145698803321 |
| [Place of publication not identified], : IEEE, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
| 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2007 |
| Descrizione fisica | 1 online resource |
| Disciplina | 621.3819598 |
| Soggetto topico | Pattern recognition systems |
| ISBN | 1-5090-9068-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996207173403316 |
| [Place of publication not identified], : IEEE, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition [[electronic resource] ] : 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, Joaquín Salas
| Pattern Recognition [[electronic resource] ] : 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, Joaquín Salas |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XV, 444 p. 162 illus., 96 illus. in color.) |
| Disciplina | 621.3819598 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Computer hardware Algorithms Software engineering Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Computer Hardware Algorithm Analysis and Problem Complexity Software Engineering/Programming and Operating Systems |
| ISBN | 3-030-21077-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence Techniques and Recognition -- Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Image Processing and Analysis -- Pattern Recognition Techniques -- Signal Processing and Analysis -- Natural Language Processing and Recognition. |
| Record Nr. | UNISA-996466323803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition : 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, Joaquín Salas
| Pattern Recognition : 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, Joaquín Salas |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XV, 444 p. 162 illus., 96 illus. in color.) |
| Disciplina |
621.3819598
006.3 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Computer hardware Algorithms Software engineering Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Computer Hardware Algorithm Analysis and Problem Complexity Software Engineering/Programming and Operating Systems |
| ISBN | 3-030-21077-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence Techniques and Recognition -- Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Image Processing and Analysis -- Pattern Recognition Techniques -- Signal Processing and Analysis -- Natural Language Processing and Recognition. |
| Record Nr. | UNINA-9910337840703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi
| Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi |
| Autore | Teshima Shoichi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York : , : Momentum Press, LLC, , [2012] |
| Descrizione fisica | 1 online resource (242 p.) |
| Disciplina | 621.3819598 |
| Soggetto topico |
Pattern recognition systems
Taguchi methods (Quality control) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-89601-X
1-60650-344-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword -- Preface -- Acknowledgments --
1. Pattern recognition and the MT system -- 1.1 Overview of pattern recognition and the fields of application -- 1.2 Standard execution procedure for pattern recognition -- 1.3 Fields with substantial experience in the use of MT system applications -- 2. Merits of the MT system and its computation methods -- 2.1 Characteristics shared by all MT system components -- 2.2 Features of the MT method -- 2.3 Features of the T method -- 2.4 The MT system computation formulas -- 3. Data handled by the MT system and feature extraction -- 3.1 Use of measured values in an unmodified form -- 3.2 Performing feature extraction -- 3.3 Feature extraction technique from character pattern -- 3.4 Feature extraction technique from waveform pattern -- 3.5 Differences between other waveform features and variation values/abundance values -- 4. MT method application procedure and important points to heed -- 4.1 Example of character recognition -- 4.2 Example of weather prediction -- 5. T method application procedures and key points -- 5.1 Yield prediction for manufacturing-production using T method-1 -- 5.2 Character pattern recognition using the RT method -- 6. Examples of actual applications -- 6.1 Blade wear monitoring via cutting vibration waveform (MT method) -- 6.2 Appearance inspection of a clutch disk -- 6.3 Monitoring of machine conditions (MT method) -- 6.4 Application to medical diagnosis (MT method) -- 6.5 Strength estimation based on raw material mixing (T method-1) -- 6.6. Real estate price prediction by T method-1 -- Appendices -- A. Differences between the MT system and artificial intelligence -- B. Difference between the MT system and traditional statistical theory -- C. Supplementary considerations concerning mathematical formulas -- D. Strategy to use when data incorporates unmeasured values -- E. Fusion with artificial intelligence and other resources -- F. Mahalanobis distance computation using Microsoft Excel -- G. Paley's construct for generation of Hadamard matrice -- Bibliography and reference sources -- Bibliography (in English) -- Bibliography (in Japanese) -- References -- Glossary: definition of terms -- Index -- About the authors. |
| Record Nr. | UNINA-9910461964203321 |
Teshima Shoichi
|
||
| New York : , : Momentum Press, LLC, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi
| Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi |
| Autore | Teshima Shoichi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York : , : Momentum Press, LLC, , [2012] |
| Descrizione fisica | 1 online resource (242 p.) |
| Disciplina | 621.3819598 |
| Soggetto topico |
Pattern recognition systems
Taguchi methods (Quality control) |
| ISBN |
1-283-89601-X
1-60650-344-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword -- Preface -- Acknowledgments --
1. Pattern recognition and the MT system -- 1.1 Overview of pattern recognition and the fields of application -- 1.2 Standard execution procedure for pattern recognition -- 1.3 Fields with substantial experience in the use of MT system applications -- 2. Merits of the MT system and its computation methods -- 2.1 Characteristics shared by all MT system components -- 2.2 Features of the MT method -- 2.3 Features of the T method -- 2.4 The MT system computation formulas -- 3. Data handled by the MT system and feature extraction -- 3.1 Use of measured values in an unmodified form -- 3.2 Performing feature extraction -- 3.3 Feature extraction technique from character pattern -- 3.4 Feature extraction technique from waveform pattern -- 3.5 Differences between other waveform features and variation values/abundance values -- 4. MT method application procedure and important points to heed -- 4.1 Example of character recognition -- 4.2 Example of weather prediction -- 5. T method application procedures and key points -- 5.1 Yield prediction for manufacturing-production using T method-1 -- 5.2 Character pattern recognition using the RT method -- 6. Examples of actual applications -- 6.1 Blade wear monitoring via cutting vibration waveform (MT method) -- 6.2 Appearance inspection of a clutch disk -- 6.3 Monitoring of machine conditions (MT method) -- 6.4 Application to medical diagnosis (MT method) -- 6.5 Strength estimation based on raw material mixing (T method-1) -- 6.6. Real estate price prediction by T method-1 -- Appendices -- A. Differences between the MT system and artificial intelligence -- B. Difference between the MT system and traditional statistical theory -- C. Supplementary considerations concerning mathematical formulas -- D. Strategy to use when data incorporates unmeasured values -- E. Fusion with artificial intelligence and other resources -- F. Mahalanobis distance computation using Microsoft Excel -- G. Paley's construct for generation of Hadamard matrice -- Bibliography and reference sources -- Bibliography (in English) -- Bibliography (in Japanese) -- References -- Glossary: definition of terms -- Index -- About the authors. |
| Record Nr. | UNINA-9910785549003321 |
|
Teshima Shoichi
|
||
| New York : , : Momentum Press, LLC, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi
| Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi |
| Autore | Teshima Shoichi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York : , : Momentum Press, LLC, , [2012] |
| Descrizione fisica | 1 online resource (242 p.) |
| Disciplina | 621.3819598 |
| Soggetto topico |
Pattern recognition systems
Taguchi methods (Quality control) |
| ISBN |
1-283-89601-X
1-60650-344-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword -- Preface -- Acknowledgments --
1. Pattern recognition and the MT system -- 1.1 Overview of pattern recognition and the fields of application -- 1.2 Standard execution procedure for pattern recognition -- 1.3 Fields with substantial experience in the use of MT system applications -- 2. Merits of the MT system and its computation methods -- 2.1 Characteristics shared by all MT system components -- 2.2 Features of the MT method -- 2.3 Features of the T method -- 2.4 The MT system computation formulas -- 3. Data handled by the MT system and feature extraction -- 3.1 Use of measured values in an unmodified form -- 3.2 Performing feature extraction -- 3.3 Feature extraction technique from character pattern -- 3.4 Feature extraction technique from waveform pattern -- 3.5 Differences between other waveform features and variation values/abundance values -- 4. MT method application procedure and important points to heed -- 4.1 Example of character recognition -- 4.2 Example of weather prediction -- 5. T method application procedures and key points -- 5.1 Yield prediction for manufacturing-production using T method-1 -- 5.2 Character pattern recognition using the RT method -- 6. Examples of actual applications -- 6.1 Blade wear monitoring via cutting vibration waveform (MT method) -- 6.2 Appearance inspection of a clutch disk -- 6.3 Monitoring of machine conditions (MT method) -- 6.4 Application to medical diagnosis (MT method) -- 6.5 Strength estimation based on raw material mixing (T method-1) -- 6.6. Real estate price prediction by T method-1 -- Appendices -- A. Differences between the MT system and artificial intelligence -- B. Difference between the MT system and traditional statistical theory -- C. Supplementary considerations concerning mathematical formulas -- D. Strategy to use when data incorporates unmeasured values -- E. Fusion with artificial intelligence and other resources -- F. Mahalanobis distance computation using Microsoft Excel -- G. Paley's construct for generation of Hadamard matrice -- Bibliography and reference sources -- Bibliography (in English) -- Bibliography (in Japanese) -- References -- Glossary: definition of terms -- Index -- About the authors. |
| Record Nr. | UNINA-9910821399003321 |
|
Teshima Shoichi
|
||
| New York : , : Momentum Press, LLC, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||