"On the Performance of Classic and Deep Neural Models in Image Recognition"

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Book	Author(s)	Year	Publisher
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications	Yunong Zhang; Dechao Chen; Chengxu Ye	2019	Routledge
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing	James C. Bezdek; James Keller; Raghu Krisnapuram; Nikhil Pal	1999	Springer US
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing	James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal	2005	Springer
Fuzzy models and algorithms for pattern recognition and image processing	James C. Bezdek, Raghu Krisnapuram, Nikhil R. Pal	2005	Springer
Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python	Antonio Gulli, Sujit Pal	2017	Packt Publishing
Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets	Le Lu; Yefeng Zheng; Gustavo Carneiro; Lin Yang	1st ed. 2017	Springer International Publishing
Models in neural networks	Domany, E. (Eytan), 1947- \| Hemmen, J. L. van 1947- [Editor] \| Schulten, K. [Editor] \| Domany, E. 1947- [Editor]	1991	Springer-Verlag
Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization	Brett Koonce	1st ed.	Apress
Pattern Recognition and Neural Networks	Brian D. Ripley	1996-01	Cambridge University Press
Neural Networks and Pattern Recognition	Omid Omidvar and Judith Dayhoff	1998	Academic Press
Pattern recognition and neural networks /	Ripley, Brian D.,	1996.	Cambridge University Press,
Neural Models of Plasticity	John H. Byrne	1989	Academic Press
Models of Neural Networks	Eytan Domany; J. Leo Hemmen; Klaus Schulten	1991	Springer Berlin Heidelberg
Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science	Junichiro Makino	1st ed. 2021	Springer International Publishing
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Image Pattern Recognition	V.A. Kovalevsky	1980	Springer New York
Handbook of Pattern Recognition and Image Processing: Computer Vision (Pattern Recognition & Image Processing)	Tzay Y. Young	April 1994	Morgan Kaufmann Publishers
Defect Recognition and Image Processing in Semiconductors 1997: Proceedings of the seventh conference on Defect Recognition and Image Processing, Berlin, September 1997	J. Doneker	1998	Routledge
Deep Learning in Object Detection and Recognition	Xiaoyue Jiang; Abdenour Hadid; Yanwei Pang; Eric Granger; Xiaoyi Feng	1st ed. 2019	Springer Nature Singapore
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python	Mohit Sewak; Rezaul Karim; Pradeep Pujari	2018	Packt Publishing - ebooks Account
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
On the Performance of Classic and Deep Neural Models in Image Recognition	Ricardo García-Ródenas; Luis Jiménez Linares; Julio Alberto López-Gómez	Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II	Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Verschure; Alessandro E.P. Villa	1st ed. 2017	Springer International Publishing
Image Recognition Using Deep Neural Networks		R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
Performance Variance in Deep Neural Network Models		Statistical Significance Testing for Natural Language Processing	Rotem Dror (author)	2020	Morgan & Claypool Publishers
Indexing and Finding Deep Neural Networks for Image Recognition		Information Modelling and Knowledge Bases (Frontiers in Artificial Intelligence and Applications)	A. Dahanayake (editor), J. Huiskonen (editor), Y. Kiyoki (editor), Bernhard Thalheim (editor), Hannu Jaakkola (editor)	2020	Ios Pr Inc
Robustness of Deep Convolutional Neural Networks for Image Recognition	Matej Uličný; Jens Lundström; Stefan Byttner	Intelligent Computing Systems: First International Symposium, ISICS 2016, Mérida, México, March 16-18, 2016, Proceedings	Anabel Martin-Gonzalez; Victor Uc-Cetina	1st ed. 2016	Springer International Publishing
Chapter 6: Image Recognition Using Deep Neural Networks		R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
Deep Neural Image Denoising	Michał Koziarski; Bogusław Cyganek	Computer Vision and Graphics: International Conference, ICCVG 2016, Warsaw, Poland, September 19-21, 2016, Proceedings	Leszek J. Chmielewski; Amitava Datta; Ryszard Kozera; Konrad Wojciechowski	1st ed. 2016	Springer International Publishing
Explorations into Deep Neural Models for Emotion Recognition	Frosina Stojanovska; Martina Toshevska; Sonja Gievska	ICT Innovations 2018. Engineering and Life Sciences: 10th International Conference, ICT Innovations 2018, Ohrid, Macedonia, September 17–19, 2018, Proceedings	Slobodan Kalajdziski; Nevena Ackovska	1st ed. 2018	Springer International Publishing
An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition	Zahra Sadeghi	Intelligent Computing Systems: Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18–19, 2020, Proceedings	Carlos Brito-Loeza; Arturo Espinosa-Romero; Anabel Martin-Gonzalez; Asad Safi	1st ed. 2020	Springer International Publishing
Stereoscopic Image Quality Assessment Based on Deep Convolutional Neural Models	Yong Ding; Guangming Sun	Stereoscopic Image Quality Assessment	Yong Ding; Guangming Sun	1st ed. 2020	Springer Nature Singapore
Deep Neural Network Models	Armando Vieira; Bernardete Ribeiro	Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing	Armando Vieira; Bernardete Ribeiro	1st ed.	Apress
Indoor Image Recognition and Classification via Deep Convolutional Neural Network	Mouna Afif; Riadh Ayachi; Yahia Said; Edwige Pissaloux; Mohamed Atri	Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol. 1	Med Salim Bouhlel; Stefano Rovetta	1st ed. 2020	Springer International Publishing
A Review of Image Recognition with Deep Convolutional Neural Network	Qing Liu; Ningyu Zhang; Wenzhu Yang; Sile Wang; Zhenchao Cui; Xiangyang Chen et al.	Intelligent Computing Theories and Application: 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I	De-Shuang Huang; Vitoantonio Bevilacqua; Prashan Premaratne; Phalguni Gupta	1st ed. 2017	Springer International Publishing
Comparative Performance Study on Human Activity Recognition with Deep Neural Networks	Kavya Sree Gajjala; Ashika Kothamachu Ramesh; Kotaro Nakano; Basabi Chakraborty	Intelligence Science III: 4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24–27, 2021, Revised Selected Papers	Zhongzhi Shi; Mihir Chakraborty; Samarjit Kar	1st ed. 2021	Springer International Publishing
Image Recognition Methods Based on Deep Learning	Zehua Zhang	3D Imaging—Multidimensional Signal Processing and Deep Learning: 3D Images, Graphics and Information Technologies, Volume 1	Lakhmi C. Jain; Roumen Kountchev; Yonghang Tai; Roumiana Kountcheva	1st ed. 2022	Springer Nature Singapore
Deep Neural Networks in Russian Speech Recognition	Nikita Markovnikov; Irina Kipyatkova; Alexey Karpov; Andrey Filchenkov	Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St. Petersburg, Russia, September 20–23, 2017, Revised Selected Papers	Andrey Filchenkov; Lidia Pivovarova; Jan Žižka	1st ed. 2018	Springer International Publishing
Performance Analysis of Deep Neural Maps	Boren Zheng; Lutz Hamel	Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020	Robert Stahlbock; Gary M. Weiss; Mahmoud Abou-Nasr; Cheng-Ying Yang; Hamid R. Arabnia; Leonidas Deligiannidis	1st ed. 2021	Springer International Publishing
Neural network models and deep learning	G. David Garson	Data Analytics for the Social Sciences: Applications in R	G. David Garson	2021	Routledge
Deep Neural Networks: Models and Methods	Akka Zemmari; Jenny Benois-Pineau	Multi-faceted Deep Learning: Models and Data	Jenny Benois-Pineau; Akka Zemmari	1st ed. 2021	Springer International Publishing
Skin Cancer Image Classification Using Deep Neural Network Models	Mayank Upadhyay; Jyoti Rawat; Srabanti Maji	Evolution in Computational Intelligence: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021)	Vikrant Bhateja; Jinshan Tang; Suresh Chandra Satapathy; Peter Peer; Ranjita Das	1st ed. 2022	Springer Nature Singapore
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