"Lip Localization Based on Active Shape Model and Gaussian Mixture Model"

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Book	Author(s)	Year	Publisher
Mixture Model-Based Classification	Paul D. McNicholas	2016	Routledge
Essential Spectrum-based Fault Localization	Xiaoyuan Xie; Baowen Xu	1st ed. 2021	Springer Nature Singapore
Active Plasmonic Devices: Based on Magnetoplasmonic Nanostructures	Diana Martín Becerra	1st ed. 2017	Springer International Publishing
Spectral Mixture for Remote Sensing: Linear Model and Applications	Yosio Edemir Shimabukuro; Flávio Jorge Ponzoni	1st ed. 2019	Springer International Publishing
Visible Light Communication Based Indoor Localization	Mohsen Kavehrad; Reza Aminikashani	2019	Routledge
Active Visual Inference of Surface Shape	Roberto Cipolla	1996	Springer Berlin Heidelberg
Lectures on Gaussian Processes	Mikhail Lifshits	2012	Springer Berlin Heidelberg
Analysis on Gaussian Spaces	Yaozhong Hu	2016	World Scientific
Perspectives on localization /	Dunne, Keiran J.	c2006.	J. Benjamins Pub. Co.,
Testing lack of fit in a mixture model	John Thomas Shelton	1982
Active damping of vibrations on space station freedom using Linear Quadratic Gaussian control and H control	Jacqueline R. McClusky	1991	Naval Postgraduate School;Available from the National Technical Information Service
Model-based Geostatistics	Peter Diggle; Paulo Justiniano Ribeiro	2007	Springer New York
Cluster-based Localization and Tracking in Ubiquitous Computing Systems	José Ramiro Martínez-de Dios; Alberto de San Bernabé-Clemente; Arturo Torres-González; Anibal Ollero	1st ed. 2017	Springer Berlin Heidelberg
Shape, sculpt, and roll: with Crayola Model Magic	Deborah Schecter	2001	Scholastic
Lip /	Naccarato, Alessandra,
Lip /	Fagan, Kathy.	c2009.	Eastern Washington University Press,
An approach to software fault localization and revalidation based on incremental data flow analysis	Abu-Bakr M. Taha	1991
Euro-Asian Encounters on 21st-Century Competency-Based Curriculum Reforms: Cultural Views on Globalization and Localization	Weili Zhao; Daniel Tröhler	1st ed. 2021	Springer Nature Singapore
Gaussian and Non-Gaussian Linear Time Series and Random Fields	Murray Rosenblatt	2000	Springer New York
Model-Based Signal Processing	James V. Candy	2006	Wiley-IEEE Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Lip Localization Based on Active Shape Model and Gaussian Mixture Model	Kyung Shik Jang; Soowhan Han; Imgeun Lee; Young Woon Woo	Advances in Image and Video Technology: First Pacific Rim Symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006, Proceedings	Long-Wen Chang; Wen-Nung Lie; Rachel Chiang	2006	Springer Berlin Heidelberg
Mouth Region Localization Method Based on Gaussian Mixture Model	Kenichi Kumatani; Rainer Stiefelhagen	Advances in Machine Vision, Image Processing, and Pattern Analysis: International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006, Xi' an, China, August 26-27, 2006, Proceedings	Nanning Zheng; Xiaoyi Jiang; Xuguang Lan	2006	Springer Berlin Heidelberg
Pruning Technology Based on Gaussian Mixture Model	Mengya Sun	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1	John Macintyre; Jinghua Zhao; Xiaomeng Ma	1st ed. 2022	Springer International Publishing
Gaussian Mixture Model	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	Machine Learning: Algorithms and Applications	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	2016	Routledge
Gaussian mixture model		Machine Learning with Scala Quick Start Guide: Leverage popular machine learning algorithms and techniques and implement them in Scala	Md. Rezaul Karim	2019	Packt Publishing
Gaussian Mixture Model		Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk	Abdullah Karasan	2021	O'Reilly Media
Gaussian Mixture Model		Artificial neural systems: principle and practice	Lorrentz, Pierre	2016	Bentham Science Publishers
Gaussian mixture model		Dictionary of Computer Vision and Image Processing	Robert B. Fisher, Kenneth Dawson-Howe, Andrew Fitzgibbon, Craig Robertson, Emanuele Trucco	2005	Wiley
Gaussian Mixture Model		Artificial neural systems: principles and practice.	Lorrentz, Pierre	2015	Bentham Science Publisher
A Fast Active Contour Tracking Method Based on Gaussian Mixture Model	Yuchen Wang; Xiaofeng Lu; Mingyao Zhu	The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems	Baoju Zhang; Jiasong Mu; Wei Wang; Qilian Liang; Yiming Pi	2014	Springer International Publishing
Robust Lip Segmentation Based on Complexion Mixture Model	Yangyang Hu; Hong Lu; Jinhua Cheng; Wenqiang Zhang; Fufeng Li; Weifei Zhang	Advances in Multimedia Information Processing - PCM 2016: 17th Pacific-Rim Conference on Multimedia, Xi´ an, China, September 15-16, 2016, Proceedings, Part I	Enqing Chen; Yihong Gong; Yun Tie	1st ed. 2016	Springer International Publishing
A Generative Gaussian Mixture Statistical Shape Model	Heike Hufnagel	A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis	Heike Hufnagel	2011	Vieweg+Teubner Verlag
Improved Algorithm Based on Gaussian Mixture Background Model	Wei Wang; Xinyuan Yang; Sui Zong; Chenhui Wang	Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012: Volume 4	Zhicai Zhong	2013	Springer London
Lip Reading Based on Sampled Active Contour Model	Takeshi Saitoh; Ryosuke Konishi	Image Analysis and Recognition: Second International Conference, ICIAR 2005, Toronto, Canada, September 28-30, 2005, Proceedings	Mohamed Kamel; Aurélio Campilho	2005	Springer Berlin Heidelberg
Shape-based active contour model	V. Vuwong and H. Yu.	Electronic imaging and multimedia systems: 4-5 November 1996, Beijing, China /	Li, Zhongsheng.; Stevenson, Robert L.; Zhou, Liwei.	[1996], ©1996.	SPIE,
Active Shape Model Based on Sparse Representation	Yanqing Guo; Ran He; Wei-Shi Zheng; Xiangwei Kong	Biometric Recognition: 7th Chinese Conference, CCBR 2012, Guangzhou, China, December 4-5, 2012, Proceedings	Wei-Shi Zheng; Zhenan Sun; Yunhong Wang; Xilin Chen; Pong C. Yuen; Jianhuang Lai	2012	Springer Berlin Heidelberg
Image Retrieval Based on Gaussian Mixture Approach to Color Localization	Maria Luszczkiewicz-Piatek; Bogdan Smolka	Image Analysis and Processing -- ICIAP 2011: 16th International Conference, Ravenna, Italy, September 14-16, 2011, Proceedings, Part I	Giuseppe Maino; Gian Luca Foresti	2011	Springer Berlin Heidelberg
Create Gaussian Mixture Model		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Create Gaussian Mixture Model		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
111 Gaussian Mixture Model		Mathematics for machine learning	Deisenroth M.P	2019
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