Machine Learning And Data Mining In Pattern Recognition

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Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 499 pages
File Size : 47,6 Mb
Release : 2018-07-09
Category : Computers
ISBN : 9783319961330

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 614 pages
File Size : 49,9 Mb
Release : 2011-08-12
Category : Computers
ISBN : 9783642231995

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining; and machine learning and image mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 363 pages
File Size : 53,5 Mb
Release : 2003-05-15
Category : Computers
ISBN : 9783540445968

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 660 pages
File Size : 41,8 Mb
Release : 2013-07-11
Category : Computers
ISBN : 9783642397127

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer Science & Business Media
Page : 624 pages
File Size : 48,5 Mb
Release : 2011-08-12
Category : Computers
ISBN : 9783642231988

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining; and machine learning and image mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 452 pages
File Size : 55,6 Mb
Release : 2017-07-01
Category : Computers
ISBN : 9783319624167

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner,Atsushi Imiya
Publisher : Springer
Page : 698 pages
File Size : 45,9 Mb
Release : 2005-08-25
Category : Computers
ISBN : 9783540318910

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner,Atsushi Imiya Pdf

We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 680 pages
File Size : 51,8 Mb
Release : 2012-07-02
Category : Computers
ISBN : 9783642315374

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 470 pages
File Size : 52,9 Mb
Release : 2018-07-09
Category : Computers
ISBN : 9783319961361

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 454 pages
File Size : 51,8 Mb
Release : 2015-06-30
Category : Computers
ISBN : 9783319210247

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 807 pages
File Size : 42,6 Mb
Release : 2016-06-27
Category : Computers
ISBN : 9783319419206

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer Science & Business Media
Page : 837 pages
File Size : 48,8 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642030703

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
Page : 916 pages
File Size : 41,7 Mb
Release : 2007-08-28
Category : Computers
ISBN : 9783540734994

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner,Maria Petrou
Publisher : Springer
Page : 224 pages
File Size : 55,8 Mb
Release : 2003-06-26
Category : Computers
ISBN : 9783540480976

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner,Maria Petrou Pdf

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.