| 書目名稱 | Machine Learning and Data Mining in Pattern Recognition |
| 副標(biāo)題 | First International |
| 編輯 | Petra Perner,Maria Petrou |
| 視頻video | http://file.papertrans.cn/621/620456/620456.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | 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 quali |
| 出版日期 | Conference proceedings 1999 |
| 關(guān)鍵詞 | Data Mining; Image Processing; Intelligent Data Analysis; Pattern Recognition; classification; learning; m |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-48097-8 |
| isbn_softcover | 978-3-540-66599-1 |
| isbn_ebook | 978-3-540-48097-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 1999 |
|Archiver|手機(jī)版|小黑屋|
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