{"product_id":"9783030367107","title":"Lecture Notes in Computer Science: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II","description":"\u003ch1\u003eLecture Notes in Computer Science: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II\u003c\/h1\u003e \u003ch2\u003eGedeon, Tom; Wong, Kok Wai; Lee, Minho\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.\u003c\/p\u003e\u003cp\u003eThe 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2019-12-11\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030367107\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-36711-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 709\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45377918304396,"sku":"9783030367107","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030367107.jpg?v=1774017602","url":"https:\/\/lateknightbooks.com\/products\/9783030367107","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}