"Deep Learning in Mining of Visual Content" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Deep Learning in Mining of Visual Content	Akka Zemmari; Jenny Benois-Pineau	1st ed. 2020	Springer International Publishing
Deep Learning: A Visual Approach	Andrew Glassner	2021	No Starch Press
Visual Domain Adaptation in the Deep Learning Era	Gabriela Csurka; Timothy M. Hospedales; Mathieu Salzmann; Tatiana Tommasi		Springer International Publishing
Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Human Centric Visual Analysis with Deep Learning	Liang Lin; Dongyu Zhang; Ping Luo; Wangmeng Zuo	1st ed. 2020	Springer Nature Singapore
Mining deep /	Nkosi, Morley Z.	2011.	David Philip,
Visual Cortex and Deep Networks: Learning Invariant Representations	Tomaso A. Poggio; Fabio Anselmi	2016	The MIT Press,
Mining User Generated Content	Marie-Francine Moens; Juanzi Li; Tat-Seng Chua	2014	Routledge
Visual Object Tracking from Correlation Filter to Deep Learning	Weiwei Xing; Weibin Liu; Jun Wang; Shunli Zhang; Lihui Wang; Yuxiang Yang; Bowen Song	1st ed. 2021	Springer Nature Singapore
Visual data mining	Mihael Ankerst	2001	Dissertation.de
Deep Learning in Science	Pierre Baldi	2021-07	Cambridge University Press
Advances in Deep Learning	M. Arif Wani; Farooq Ahmad Bhat; Saduf Afzal; Asif Iqbal Khan	1st ed. 2020	Springer Nature Singapore
Deep Learning in Biometrics	Mayank Vatsa; Richa Singh; Angshul Majumdar	2018	Routledge
Deep Learning in Bioinformatics	Habib Izadkhah	2022	Academic Press
Deep Learning in Practice	Mehdi Ghayoumi	2021	Routledge
Deep learning /	Goodfellow, Ian,; Bengio, Yoshua,; Courville, Aaron,		MIT Press
Deep Learning	John D. Kelleher	2019	MIT Press,
Deep Learning	Ian Goodfellow, Yoshua Bengio, Aaron Courville	2017	MIT
Deep Mining Challenges: International Mining Forum 2009	Eugeniusz J. Sobczyk; Jerzy Kicki; Piotr Saluga	2009	Routledge
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks	Arindam Chaudhuri	1st ed. 2019	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Architectures in Visual Transfer Learning	Walid Gomaa	Vision, Sensing and Analytics: Integrative Approaches	Md Atiqur Rahman Ahad; Atsushi Inoue	1st ed. 2021	Springer International Publishing
Data Mining and Deep Learning	Xin-She Yang	Nature-Inspired Optimization Algorithms(Second Edition)	Xin-She Yang	2021	Academic Press
Deep learning and visual perception	Zebang Shen; Tingting Yu; Peng Zhi; Rui Zhao	Theories and Practices of Self-Driving Vehicles	Binbin Yong; Peng Zhi; Qingguo Zhou; Rui Zhao andZebang Shen	2022	Elsevier
Deep Learning for Visual Cognition		Computational Models for Cognitive Vision	Hiranmay Ghosh	2020	Wiley-IEEE Press
Efficient Visual Content Retrieval and Mining in Videos	Josef Sivic; Andrew Zisserman	Advances in Multimedia Information Processing - PCM 2004: 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004, Proceedings, Part II	Kiyoharu Aizawa; Yuichi Nakamura; Shin’ichi Satoh	2005	Springer Berlin Heidelberg
Advances in Visual Computing through Deep Learning	Hassan Ugail	Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Deep Mining		Listen Here: Women Writing in Appalachia	edited by Sandra L. Ballard and Patricia L. Hudson	2013	The University Press of Kentucky
Deep Mining		Unthinkable: Selected Poems 1976-2004	Irene McKinney	2009	Red Hen Press
Deep Mining		'Mongst mines and miners: or underground scenes by flash-light: a series of photographs, with explanatory letterpress, illustrating methods of working in Cornish mines		1893	Simpkin, Marshall, Hamilton, Kent
Deep Mining		Her words: diverse voices in contemporary Appalachian women's poetry /	Mitchell, Felicia,	[2002], ©2002.	University of Tennessee Press,
Deep Mining	Irene McKinney	Backcountry: contemporary writing in West Virginia /	McKinney, Irene.	2002.	Vandalia Press,
Deep Mining	Irene McKinney	Listen here: women writing in Appalachia /	Ballard, Sandra L.; Hudson, Patricia L.	[2003], ©2003.	University Press of Kentucky,
Applications of Association Rule Mining Algorithms in Deep Learning	Sai Kishore; Vikram Bhushan; K. R. Suneetha	Computer Networks and Inventive Communication Technologies: Proceedings of Third ICCNCT 2020	S. Smys; Ram Palanisamy; Álvaro Rocha; Grigorios N. Beligiannis	1st ed. 2021	Springer Nature Singapore
Deep Learning for Textual Emotion Mining	Shivangi Chawla; Monica Mehrotra	Futuristic Trends in Networks and Computing Technologies: Second International Conference, FTNCT 2019, Chandigarh, India, November 22–23, 2019, Revised Selected Papers	Pradeep Kumar Singh; Sanjay Sood; Yugal Kumar; Marcin Paprzycki; Anton Pljonkin; Wei-Chiang Hong	1st ed. 2020	Springer Nature Singapore
Visual Mining		Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Deep learning in big data and data mining	Deepak Kumar Sharma; Bhanu Tokas; Leo Adlakha	Trends in Deep Learning Methodologies	Angelo Genovese; Rajshree Srivastava; Sandeep Raj and Vincenzo Piuri	2021	Academic Press
Deep Learning Models for Visual Computing	Hassan Ugail	Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Deep Learning Based Visual Object Tracking	Weiwei Xing; Weibin Liu; Jun Wang; Shunli Zhang; Lihui Wang; Yuxiang Yang et al.	Visual Object Tracking from Correlation Filter to Deep Learning	Weiwei Xing; Weibin Liu; Jun Wang; Shunli Zhang; Lihui Wang; Yuxiang Yang; Bowen Song	1st ed. 2021	Springer Nature Singapore
Visual Tracking Based on Deep Learning	Huchuan Lu; Dong Wang	Online Visual Tracking	Huchuan Lu; Dong Wang	1st ed. 2019	Springer Nature Singapore
Deep Learning for Multimedia Content Analysis	Nilanjan Dey; Amira S. Ashour; Gia Nhu Nguyen	Mining Multimedia Documents	Wahiba Ben Abdessalem Karaa; Nilanjan Dey	2017	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries