Pattern Recognition and Machine Intelligence
Springer International Publishing (Verlag)
978-3-030-34868-7 (ISBN)
The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019.
The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.
Pattern Recognition.- Machine Learning.- Deep Learning.- Soft and Evolutionary Computing.- Image Processing.-Medical Image Processing.- Bioinformatics and Biomedical Signal Processing.- Information Retrieval.- Remote Sensing.- Signal and Video Processing.- Smart and Intelligent Sensors.
| Erscheinungsdatum | 10.11.2019 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | L, 637 p. 345 illus., 219 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1038 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Schlagworte | Applications • Artificial Intelligence • classification • Clustering • clustering algorithms • Computer Science • computer vision • conference proceedings • Data Mining • face recognition • Genetic algorithms • Image Processing • image reconstruction • Image Segmentation • Imaging Systems • Informatics • Neural networks • pattern recognition • Problem Solving • Remote Sensing • Research • Semantics • sensors • Signal Processing • Support Vector Machines (SVM) |
| ISBN-10 | 3-030-34868-7 / 3030348687 |
| ISBN-13 | 978-3-030-34868-7 / 9783030348687 |
| Zustand | Neuware |
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