"A New Manifold Learning Technique for Face Recognition"

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Book	Author(s)	Year	Publisher
Kernel Learning Algorithms for Face Recognition	Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan	2014	Springer New York
Face recognition: new research /	Leeland, Katherine B.	c2008.	Nova Science Publishers,
Face Recognition	Kresimir Delac, Mislav Grgic (Editors)	2007	INTECH
Unconstrained Face Recognition	Shaohua Kevin Zhou; Rama Chellappa; Wenyi Zhao	2006	Springer US
New challenges in recognition: recognition of prior learning and recognition in a global context	Andrejs Rauhvargers	2008	Council of Europe
New Era for Robust Speech Recognition: Exploiting Deep Learning	Shinji Watanabe; Marc Delcroix; Florian Metze; John R. Hershey	1st ed. 2017	Springer International Publishing
Machine Learning for Speaker Recognition	Man-Wai Mak; Jen-Tzung Chien	2020-11	Cambridge University Press
Handbook of Face Recognition	Stan Z. Li; Anil K. Jain	2005	Springer New York
Handbook of Face Recognition	Stan Z. Li; Anil K. Jain	2nd ed. 2011	Springer London
Object and face recognition	Bruce/Hump	1994	Lawrence Erlbaum Associates
Manifold Learning Theory and Applications	Yunqian Ma; Yun Fu	2011	Routledge
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Machine-based Intelligent Face Recognition	Dengpan Mou	2010	Springer
Face recognition and its disorders /	Bate, Sarah.		Palgrave Macmillan
A new face for the church	Richards, Larry	1970	Zondervan Pub. House
Learning in Groups: A Handbook for Face-to-Face and Online Environments	David Jaques; Gilly Salmon	1984	Routledge
Independent Component Analysis of Edge Information for Face Recognition	Kailash Jagannath Karande; Sanjay Nilkanth Talbar	2014	Springer India
Face Detection and Gesture Recognition for Human-Computer Interaction	Ming-Hsuan Yang; Narendra Ahuja	2001	Springer US
Deep Learning for NLP and Speech Recognition	Uday Kamath; John Liu; James Whitaker	1st ed. 2019	Springer International Publishing
Machine Learning Systems for Multimodal Affect Recognition	Markus Kächele	1st ed. 2020	Springer Fachmedien Wiesbaden
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A New Manifold Learning Technique for Face Recognition	Mohammad Moinul Islam; Mohammed Nazrul Islam; Vijayan K. Asari; Mohammad A. Karim	Wireless Networks and Computational Intelligence: 6th International Conference on Information Processing, ICIP 2012, Bangalore, India, August 10-12, 2012. Proceedings	K. R. Venugopal; L. M. Patnaik	2012	Springer Berlin Heidelberg
A Discriminative Non-linear Manifold Learning Technique for Face Recognition	Bogdan Raducanu; Fadi Dornaika	Informatics Engineering and Information Science, Part IV: International Conference, ICIEIS 2011, Kuala Lumpur, Malaysia, November 12-14, 2011. Proceedings, Part IV	Azizah Abd Manaf; Shamsul Sahibuddin; Rabiah Ahmad; Salwani Mohd Daud; Eyas El-Qawasmeh	2011	Springer Berlin Heidelberg
Kernel Manifold Learning-Based Face Recognition	Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan	Kernel Learning Algorithms for Face Recognition	Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan	2014	Springer New York
Ensemble-Based Discriminant Manifold Learning for Face Recognition	Junping Zhang; Li He; Zhi-Hua Zhou	Advances in Natural Computation: Second International Conference, ICNC 2006, Xi' an, China, September 24-28, 2006, Proceedings, Part I	Licheng Jiao; Lipo Wang; Xinbo Gao; Jing Liu; Feng Wu	2006	Springer Berlin Heidelberg
Manifold Learning for Video-to-Video Face Recognition	Abdenour Hadid; Matti Pietikäinen	Biometric ID Management and Multimodal Communication: Joint COST 2101 and 2102 International Conference, BioID_MultiComm 2009, Madrid, Spain, September 16-18, 2009, Proceedings	Julian Fierrez; Javier Ortega-Garcia; Anna Esposito; Andrzej Drygajlo; Marcos Faundez-Zanuy	2009	Springer Berlin Heidelberg
Face Recognition Using Sparse Representations and Manifold Learning	Grigorios Tsagkatakis; Andreas Savakis	Advances in Visual Computing: 6th International Symposium, ISVC 2010, Las Vegas, NV, USA, November 29-December 1, 2010, Proceedings, Part I	Richard Boyle; Bahram Parvin; Darko Koracin; Ronald Chung; Hammoud; Muhammad Hussain; Kar-Han Tan; Roger Crawfis; Daniel Thalmann; David Kao; Lisa Avila	2010	Springer Berlin Heidelberg
Discriminative Semi-supervised Learning in Manifold Subspace for Face Recognition	Tue-Minh Dinh Vo; Hung Phuoc Truong; Thai Hoang Le	Context-Aware Systems and Applications: 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers	Phan Cong Vinh; Vangalur Alagar	1st ed. 2016	Springer International Publishing
Extraction of Discriminative Manifold for Face Recognition	Yanmin Niu; Xuchu Wang	Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II	Jun Wang; Laiwan Chan; DeLiang Wang	2006	Springer Berlin Heidelberg
Learning KPCA for Face Recognition	Wangli Hao; Jianwu Li; Xiao Zhang	Emerging Intelligent Computing Technology and Applications: 9th International Conference, ICIC 2013, Nanning, China, July 25-29, 2013. Proceedings	De-Shuang Huang; Phalguni Gupta; Ling Wang; Michael Gromiha	2013	Springer Berlin Heidelberg
Deep Learning for Face Recognition		Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Face Recognition Using Principal Geodesic Analysis and Manifold Learning	Matthew P. Dickens; William A. P. Smith; Jing Wu; Edwin R. Hancock	Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I	Joan Martí; José M. Benedí; Ana M. Mendonça; Joan Serrat	2007	Springer Berlin Heidelberg
Learning Discriminant Face Descriptor for Face Recognition	Zhen Lei; Stan Z. Li	Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II	Kyoung Mu Lee; Yasuyuki Matsushita; James M. Rehg; Zhanyi Hu	2013	Springer Berlin Heidelberg
A New Manifold Representation for Visual Speech Recognition	Dahai Yu; Ovidiu Ghita; Alistair Sutherland; Paul F. Whelan	Computer Analysis of Images and Patterns: 12th International Conference, CAIP 2007, Vienna, Austria, August 27-29, 2007, Proceedings	Walter Kropatsch; Martin Kampel; Allan Hanbury	2007	Springer Berlin Heidelberg
Relation Learning - A New Approach to Face Recognition	Len Bui; Dat Tran; Xu Huang; Girija Chetty	Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, Proceedings	Jaques Blanc-Talon; Wilfried Philips; Dan Popescu; Paul Scheunders; Richard Kleihorst	2011	Springer Berlin Heidelberg
Manifold Projection for Adversarial Defense on Face Recognition	Jianli Zhou; Chao Liang; Jun Chen	Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXX	Andrea Vedaldi; Horst Bischof; Thomas Brox; Jan-Michael Frahm	1st ed. 2020	Springer International Publishing
A manifold model of face and object recognition	Ian Craw	Cognitive and Computational Aspects of Face Recognition: Explorations in Face Space	Tim Valentine	1995	Routledge
A New Subspace Approach for Face Recognition	Jian-Xun Mi	Bio-Inspired Computing and Applications: 7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers	De-Shuang Huang; Yong Gan; Prashan Premaratne; Kyungsook Han	2012	Springer Berlin Heidelberg
Face Recognition Based on Gabor-Enhanced Manifold Learning and SVM	Chao Wang; Chengan Guo	Advances in Neural Networks -- ISNN 2010: 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II	James Kwok; Liqing Zhang; Bao-Liang Lu	2010	Springer Berlin Heidelberg
Face Recognition via Domain Adaptation and Manifold Distance Metric Learning	Bo Li; Ping-Ping Zheng; Jin Liu; Xiao-Long Zhang	Intelligent Computing Theories and Application: 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II	De-Shuang Huang; Kang-Hyun Jo; Juan Carlos Figueroa-García	1st ed. 2017	Springer International Publishing
Supervised Transform Learning for Face Recognition	Dimche Kostadinov; Sviatoslav Voloshynovskiy; Sohrab Ferdowsi; Maurits Diephuis; Rafał Scherer	Artificial Intelligence and Soft Computing: 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I	Leszek Rutkowski; Marcin Korytkowski; Rafal Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada	2015	Springer International Publishing
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