"Image Compression by Vector Quantization with Recurrent Discrete Networks"

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Book	Author(s)	Year	Publisher
Vector Quantization and Signal Compression	Allen Gersho; Robert M. Gray	1992	Springer US
Vector Quantization and Signal Compression	Allen Gersho, Robert M. Gray (auth.)	1992	Springer US
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
VHDL behavioral description of Discrete Cosine Transform in image compression	An-Te Deng	1991	Naval Postgraduate School;Available from the National Technical Information Service
Supervised Sequence Labelling with Recurrent Neural Networks	Alex Graves	2012	Springer Berlin Heidelberg
Wavelet Image Compression	William Pearlman		Springer International Publishing
Still Image and Video Compression with MATLAB	K. S. Thyagarajan	2011	Wiley-IEEE Press
Document and Image Compression	Avideh Zakhor; Mauro Barni; Sanjit K. Mitra; Jorn Ostermann; Anthony Vetro; Raout Hamzaoui; Dietmar Saupe; Vito Dai; David Neuhoff; Kevin Holt; Enrico Magli; Charles Boncelct; Pierre Vandergheynst; Pascal Frossard; Patrizio Campisi; Alessandro Piva; Hartmut Fuehr; Luciano Alparone; Soren Forchhammer; David Scott Taubman; Marco Carli; S.D. Servetto; G. Menegaz; Stefano Baronti; Alessandro Neri; Ricardo L. de Queiroz	2006	Routledge
Image and Text Compression	James A. Storer	1992	Springer US
Digital image compression techniques	Majid Rabbani	1991	Spie Optical Engineering Press
Perceptual image coding with discrete cosine transform	Ee-Leng Tan; Woon-Seng Gan	2015	Springer
Perceptual Image Coding with Discrete Cosine Transform	Ee-Leng Tan; Woon-Seng Gan	2015	Springer Nature Singapore
Wavelet Image and Video Compression	Pankaj N. Topiwala	1998	Springer US
JPEG2000 Image Compression Fundamentals, Standards and Practice: Image Compression Fundamentals, Standards and Practice	David Taubman; Michael Marcellin	2002	Springer US
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Discrete-Time Recurrent Neural Control: Analysis and Applications	Edgar N. Sanchez	2018	Routledge
A Field Guide to Dynamical Recurrent Networks	John F. Kolen; Stefan C. Kremer	2001	Wiley-IEEE Press
Photonic Reservoir Computing: Optical Recurrent Neural Networks	Daniel Brunner; Miguel C. Soriano; Guy Van der Sande	2019	De Gruyter
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Image Compression by Vector Quantization with Recurrent Discrete Networks	Domingo López-Rodríguez; Enrique Mérida-Casermeiro; Juan M. Ortiz-de-Lazcano-Lobato; Ezequiel López-rubio	Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part II	Stefanos Kollias; Andreas Stafylopatis; Wlodzislaw Duch; Erkki Oja	2006	Springer Berlin Heidelberg
Vector Quantization for Image Compression	Leszek Rutkowski	New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing	Leszek Rutkowski	2004	Springer Berlin Heidelberg
Image Compression Using Vector Quantization	Madhuri A. Joshi; Mehul S. Raval; Yogesh H. Dandawate; Kalyani R. Joshi; Shilpa P. Metkar	Image and Video Compression: Fundamentals, Techniques, and Applications	Madhuri A. Joshi; Mehul S. Raval; Yogesh H. Dandawate; Kalyani R. Joshi; Shilpa P. Metkar	2014	Routledge
Image Compression Using Vector Quantization	Rohit Agrawal; Narendra Mohan	Advances in Computational Intelligence and Communication Technology: Proceedings of CICT 2021	Xiao-Zhi Gao; Shailesh Tiwari; Munesh C. Trivedi; Pradeep Kumar Singh; Krishn K. Mishra	1st ed. 2022	Springer Nature Singapore
Image Vector Quantization by Neural Networks	Rosa Lancini	Neural Networks in Telecommunications	Ben Yuhas; Nirwan Ansari	1994	Springer US
Vector Quantization Techniques in Image Compression	A. Gersho; S. Gupta; S.-W. Wu	Handbook of Visual Communications	Hseuh-Ming Hang and John W. Woods	1995	Academic Press
Image Compression and Tree-Structured Vector Quantization	Robert M. Gray; Pamela C. Cosman; Eve A. Riskin	Image and Text Compression	James A. Storer	1992	Springer US
Image Compression Using Fast Transformed Vector Quantization	R. Li and J. Kim	Proceedings: 29th Applied Imagery Pattern Recognition Workshop: 16-18 October 2000, Washington, D. C. /	Aanstoos, James V.	[2000], ©2000.	IEEE Computer Society,
6. Vector Quantization Techniques in Image Compression	A. Gersho, S. Gupta and S.-W. Wu	Handbook of visual communications /	Hang, Hsueh-Ming.; Woods, John W.	[1995], ©1995.	Academic Press,
Image Compression Based on Hierarchical Clustering Vector Quantization	Shi Wang; Long Ye; Wei Zhong; Qin Zhang	Multimedia and Signal Processing: Second International Conference, CMSP 2012, Shanghai, China, December 7-9, 2012, Proceedings	Fu Lee Wang; Jingsheng Lei; Rynson W.H. Lau; Jingxin Zhang	2012	Springer Berlin Heidelberg
A Multiple Vector Quantization Approach to Image Compression	Noritaka Shigei; Hiromi Miyajima; Michiharu Maeda	Advances in Natural Computation: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II	Lipo Wang; Ke Chen; Yew Soon Ong	2005	Springer Berlin Heidelberg
Fuzzy Clustering-Based Vector Quantization for Image Compression	George E. Tsekouras; Dimitrios M. Tsolakis	Computational Intelligence in Image Processing	Amitava Chatterjee; Patrick Siarry	2013	Springer Berlin Heidelberg
Laplacian Pyramid Image Data Compression Using Vector Quantization	C. H. Chen; Robert C. Yen	Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials	C.H. Chen	1988	Springer Berlin Heidelberg
Image Compression Method Using Improved PSO Vector Quantization	Qian Chen; Jiangang Yang; Jin Gou	Advances in Natural Computation: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III	Lipo Wang; Ke Chen; Yew Soon Ong	2005	Springer Berlin Heidelberg
Secure Lossy Image Compression via Adaptive Vector Quantization	Bruno Carpentieri; Francesco Palmieri; Raffaele Pizzolante	Augmented Reality, Virtual Reality, and Computer Graphics: 5th International Conference, AVR 2018, Otranto, Italy, June 24–27, 2018, Proceedings, Part I	Lucio Tommaso De Paolis; Patrick Bourdot	1st ed. 2018	Springer International Publishing
Fast Vector Quantization Encoding Algorithms for Image Compression		Innovations in Mobile Multimedia Communications and Applications: New Technologies	Ismail Khalil, Edgar Weippl	2011	IGI Global snippet
Multistage adaptive search vector quantization for image compression	W. M. Refai	Hybrid image and signal processing V: 8 April 1996, Orlando, Florida /	Casasent, D. P.; Tescher, Andrew G.	[1996], ©1996.	SPIE,
Magnetic resonance image compression using scalar-vector quantization	N. Mohsenian and H. Shahri	Coding and signal processing for information storage: 23-24 October, 1995, Philadelphia, Pennsylvania /	Raghuveer, M. R.	[1995], ©1995.	SPIE,
4 Vector quantization data compression		Optical satellite data compression and implementation	Qian, Shen-En	2013	SPIE
Discrete Recurrent Neural Networks	Zhang Yi; K. K. Tan	Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
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