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100%: Petra Perner/ Maria Petrou: Machine Learning and Data Mining in Pattern Recognition (ISBN: 9783540665991) in Englisch.Nur diese Ausgabe anzeigen…
72%: Petra Perner; Maria Petrou: Machine Learning and Data Mining in Pattern Recognition (ISBN: 9783540480976) 1999, in Deutsch, auch als eBook.Nur diese Ausgabe anzeigen…
Machine Learning and Data Mining in Pattern Recognition
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| Preise | 2013 | 2014 | 2015 | 2021 | 2022 |
|---|---|---|---|---|---|
| Schnitt | € 46,23 | € 68,12 | € 54,12 | € 46,93 | € 74,94 |
| Nachfrage |
1
Machine Learning and Data Mining in Pattern Recognition
DE PB NWISBN: 9783540665991 bzw. 3540665994, in Deutsch, Springer, Berlin, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.cc***ii, 224 S. CC***II, 224 p.Versandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.cc***ii, 224 S. CC***II, 224 p.Versandfertig in 3-5 Tagen, Softcover.
2
Machine Learning and Data Mining in Pattern Recognition
DE PB NWISBN: 9783540665991 bzw. 3540665994, in Deutsch, Springer, Berlin, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.cc***ii, 224 S. CC***II, 224 p.Versandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.cc***ii, 224 S. CC***II, 224 p.Versandfertig in 3-5 Tagen, Softcover.
3
Machine Learning and Data Mining in Pattern Recognition
~EN PB NWISBN: 9783540665991 bzw. 3540665994, vermutlich in Englisch, Springer Nature, Taschenbuch, neu.
Lieferung aus: Deutschland, Lagernd, zzgl. Versandkosten.
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject. Soft cover.
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject. Soft cover.
4
Machine Learning and Data Mining in Pattern Recognition
DE NWISBN: 9783540665991 bzw. 3540665994, in Deutsch, Springer, neu.
Lieferung aus: Schweiz, zzgl. Versandkosten, Versandfertig innert 6 - 9 Tagen.
First International Workshop, MLDM '99, Leipzig, Germany, September 16-18, 1999, Proceedings, The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.
First International Workshop, MLDM '99, Leipzig, Germany, September 16-18, 1999, Proceedings, The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.
5
Symbolbild
Machine Learning and Data Mining in Pattern Recognition : First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999 Proceedings (1999)
~EN USISBN: 9783540665991 bzw. 3540665994, vermutlich in Englisch, Springer, Berlin/Heidelberg, Deutschland, gebraucht, guter Zustand.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: DEU.
Von Händler/Antiquariat, Better World Books.
Used - Good. Shows some signs of wear, and may have some markings on the inside.
Von Händler/Antiquariat, Better World Books.
Used - Good. Shows some signs of wear, and may have some markings on the inside.
6
Machine Learning and Data Mining in Pattern Recognition (1999)
DE NW EBISBN: 9783540480976 bzw. 3540480978, in Deutsch, Springer Berlin Heidelberg, neu, E-Book.
Lieferung aus: Deutschland, Versandkostenfrei, In stock (Download).
Machine Learning and Data Mining in Pattern Recognition ab 74.99 € als pdf eBook: First International Workshop MLDM'99 Leipzig Germany September 16-18 1999 Proceedings. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,.
Machine Learning and Data Mining in Pattern Recognition ab 74.99 € als pdf eBook: First International Workshop MLDM'99 Leipzig Germany September 16-18 1999 Proceedings. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,.
7
Machine Learning and Data Mining in Pattern Recognition (1999)
DE HC NWISBN: 9783540665991 bzw. 3540665994, in Deutsch, Springer Berlin Heidelberg, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei, Shipping in 3 days.
Machine Learning and Data Mining in Pattern Recognition ab 74.99 € als Taschenbuch: First International Workshop MLDM'99 Leipzig Germany September 16-18 1999 Proceedings. Auflage 1999. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,.
Machine Learning and Data Mining in Pattern Recognition ab 74.99 € als Taschenbuch: First International Workshop MLDM'99 Leipzig Germany September 16-18 1999 Proceedings. Auflage 1999. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,.
8
Symbolbild
Machine Learning and Data Mining in Pattern Recognition: First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings . / Lecture Notes in Artificial Intelligence) (1999)
~EN PB USISBN: 9783540665991 bzw. 3540665994, vermutlich in Englisch, Springer, Taschenbuch, gebraucht, guter Zustand.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: DEU.
Von Händler/Antiquariat, GuthrieBooks.
Springer, 1999-10-18. Paperback. Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
Von Händler/Antiquariat, GuthrieBooks.
Springer, 1999-10-18. Paperback. Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
9
Machine Learning and Data Mining in Pattern Recognition (1999)
DE NW EBISBN: 9783540480976 bzw. 3540480978, in Deutsch, Springer Berlin Heidelberg, Springer Berlin Heidelberg, neu, E-Book.
Lieferung aus: Deutschland, Versandkostenfrei, in stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Machine Learning and Data Mining in Pattern Recognition
~EN NW EB DLISBN: 9783540480976 bzw. 3540480978, vermutlich in Englisch, Springer Nature, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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