Pattern Recognition and Machine Intelligence
Springer International Publishing (Verlag)
978-3-030-34871-7 (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, 583 p. 327 illus., 185 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 961 g |
| Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Applications • Artificial Intelligence • classification • Clustering • Computer Networks • Computer Science • computer vision • conference proceedings • genes • image coding • Image Processing • image reconstruction • Image Segmentation • Informatics • Information Retrieval • Natural Language Processing Systems • Neural networks • Object recognition • Research • Semantics • sensors • Signal Processing • Support Vector Machines (SVM) • wavelet transforms • wireless telecommunication systems |
| ISBN-10 | 3-030-34871-7 / 3030348717 |
| ISBN-13 | 978-3-030-34871-7 / 9783030348717 |
| Zustand | Neuware |
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