Pattern Recognition and Machine Intelligence 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part I

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.

Dettagli sul prodotto

• Con la collaborazione di: Bhabesh Deka (Editore), Pradipta Maji (Editore), Sushmita Mitra (Editore), Dhruba Kumar Bhattacharyya (Editore), Prabin Kumar Bora (Editore), Sankar Kumar Pal (Editore), Pradipt Maji (Editore), Sushmita Mitra et al (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 01.01.2019
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9783030348687
• ISBN: 978-3-0-3034868-7
• Numero di pagine: 637
• Illustrazioni: L, 637 p. 345 illus., 219 illus. in color.
• Dimensioni (della confezione): 15.6 x 3.7 x 23.6 cm
• Peso (della confezione): 1’025 g
• Serie: Lecture Notes in Computer Science > 11941; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Categorie: Algorithmen und Datenstrukturen, Data Mining, Mustererkennung, datamining, Maschinelles Sehen, Bildverstehen, Theoretische Informatik, Classification, Computervision, clustering, Semantics, Sensors, ArtificialIntelligence, RemoteSensing, signalprocessing, imagesegmentation, imageprocessing, facerecognition, imagereconstruction, neuralnetworks, patternrecognition, Problemsolving, geneticalgorithms, SupportVectorMachines(SVM), imagingsystems, clusteringalgorithms