"Object Classification Using Heterogeneous Co-occurrence Features"

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Book	Author(s)	Year	Publisher
Object classification manual	United States. Farmers Home Administration	1955
Carbonate rocks: Origin, occurrence and classification	George V. Chilingar; Harold J. Bissel; Rhodes W. Fairbridge	1967	Elsevier Pub. Co.
Programming in C++: Object Oriented Features	Laxmisha Rai; China Science Publishing &; Media Ltd.	2019	De Gruyter
Heterogeneous Photocatalysis Using Inorganic Semiconductor Solids	Umar Ibrahim Gaya	2014	Springer Netherlands
Real-Time Object Measurement and Classification	Anil K. Jain	1988	Springer Berlin Heidelberg
Oracle9i Application Developer's Guide - Object-Relational Features	Gietz B.	2001
Emotion Recognition using Speech Features	K. Sreenivasa Rao; Shashidhar G. Koolagudi	2013	Springer New York
Speaker Classification I: Fundamentals, Features, and Methods	Christian Müller	2007	Springer Berlin Heidelberg
Object Oriented Programming using Java	Simon Kendal	2013	Bookboon.com
Object Oriented Programming using Java	Simon Kendal	2013	Bookboon.com
Object-Oriented Design Using Java	Dale Skrien	2008	McGraw-Hill Education
Object-oriented programming using C++	Ira Pohl	1993	Benjamin/Cummings Pub. Co.
Application development using object vision	James T. Perry	1994	Boyd & Fraser Pub. Co.
Object lessons using children's toys	Sheryl Bruinsma	1996	Baker Books
Object-oriented programming using C++ /	Farrell, Joyce E.	[2001], ©2001.	Course Technology,
Object Oriented Programming Using C++	Joyce M. Farrell	January 19, 1998	Course Technology
Object-oriented multithreading using C++	Cameron Hughes	1997	J. Wiley
Data fusion techniques for object space classification using airborne laser data and airborne digital photographs	Joong Yong Park	2002
Pattern classification using ensemble methods	Rokach L.	2010	WS
Language Identification Using Excitation Source Features	K. Sreenivasa Rao; Dipanjan Nandi	2015	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Object Classification Using Heterogeneous Co-occurrence Features	Satoshi Ito; Susumu Kubota	Computer Vision -- ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V	Kostas Daniilidis; Petros Maragos; Nikos Paragios	2010	Springer Berlin Heidelberg
Object Classification Using Heterogeneous Co-occurrence Features	Satoshi Ito; Susumu Kubota	Computer Vision -- ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part II	Kostas Daniilidis; Petros Maragos; Nikos Paragios	2010	Springer Berlin Heidelberg
Co-occurrence textural features		Remote Sensing Image Processing	Gustavo Camps-Valls, Devis Tuia, Luis Gómez-Chova, Sandra Jiménez, and Jesús Malo	2012	Morgan & Claypool Publishers
Terrain Classification Based on 3D Co-occurrence Features	Dong-Min Woo; Dong-Chul Park; Young-Soo Song; Quoc-Dat Nguyen; Quang-Dung Nguyen Tran	Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues: Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings	De-Shuang Huang; Laurent Heutte; Marco Loog	2007	Springer Berlin Heidelberg
Co-occurrence Random Forests for Object Localization and Classification	Yu-Wu Chu; Tyng-Luh Liu	Computer Vision -- ACCV 2009: 9th Asian Conference on Computer Vision, Xi' an, China, September 23-27, 2009, Revised Selected Papers, Part III	Hongbin Zha; Rin-ichiro Taniguchi; Stephen Maybank	2010	Springer Berlin Heidelberg
Effects of 3D Co-Occurrence Features on Terrain Classification	Dong-Min Woo; Dong-Chul Park; Quoc-Dat Nguyen; Young-Soo Song; Quang-Dung Nguyen Tran	Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics - 2007	Rubin Wang; Fanji Gu; Enhua Shen	2008	Springer Netherlands
Application of 3D Co-occurrence Features to Terrain Classification	Dong-Min Woo; Dong-Chul Park; Seung-Soo Han; Quoc-Dat Nguyen	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
Co-occurrence of Intensity and Gradient Features for Object Detection	Akinori Hidaka; Takio Kurita	Neural Information Processing: 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II	Chi Sing Leung; Minho Lee; Jonathan H. Chan	2009	Springer Berlin Heidelberg
Terrain Classification Using Adaboost Algorithm Based on Co-occurrence and Haar-like Features	Ngoc-Hoa Nguyen; Dong-Min Woo	Advanced Multimedia and Ubiquitous Engineering: Future Information Technology	James J. (Jong Hyuk) Park; Han-Chieh Chao; Hamid Arabnia; Neil Y. Yen	2015	Springer Berlin Heidelberg
Song Classification: Classical and Non-classical Discrimination Using MFCC Co-occurrence Based Features	Arijit Ghosal; Rudrasis Chakraborty; Bibhas Chandra Dhara; Sanjoy Kumar Saha	Signal Processing, Image Processing and Pattern Recognition: International Conferences, SIP 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, December 8-10, 2011. Proceedings	Tai-hoon Kim; Hojjat Adeli; Carlos Ramos; Byeong-Ho Kang	2011	Springer Berlin Heidelberg
Voice-Based Gender Identification Using Co-occurrence-Based Features	Arijit Ghosal; Chanda Pathak; Pinki Singh; Suchibrota Dutta	Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019	Asit Kumar Das; Janmenjoy Nayak; Bighnaraj Naik; Soumen Kumar Pati; Danilo Pelusi	1st ed. 2020	Springer Nature Singapore
Iris Texture Description Using Ordinal Co-occurrence Matrix Features	Yasser Chacón-Cabrera; Man Zhang; Eduardo Garea-Llano; Zhenan Sun	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings	Alvaro Pardo; Josef Kittler	1st ed. 2015	Springer International Publishing
Rotation Invariant Co-occurrence Matrix Features	Lorenzo Putzu; Cecilia Di Ruberto	Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I	Sebastiano Battiato; Giovanni Gallo; Raimondo Schettini; Filippo Stanco	1st ed. 2017	Springer International Publishing
Statutes Recommendation Using Classification and Co-occurrence Between Statutes	Yi Feng; Jidong Ge; Chuanyi Li; Li Kong; Feifei Zhang; Bin Luo	PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28–31, 2018, Proceedings, Part II	Xin Geng; Byeong-Ho Kang	1st ed. 2018	Springer International Publishing
Using a co-occurrence matrix		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	Imran Ahmad	2020	Packt Publishing
Using a co-occurrence matrix		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	I'm ran Ahmad	2022	Packt Publishing, Limited
Indoor Object Classification Using Higher Dimensional MPEG Features	Dibyendu Roy Chaudhuri; Dhairya Chandra; Ankush Mittal	Soft Computing for Problem Solving: SocProS 2018, Volume 1	Kedar Nath Das; Jagdish Chand Bansal; Kusum Deep; Atulya K. Nagar; Ponnambalam Pathipooranam; Rani Chinnappa Naidu	1st ed. 2020	Springer Nature Singapore
Co-occurrence		Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Co-occurrence		Encyclopedia of GIS	Shashi Shekhar; Hui Xiong; Xun Zhou	2nd ed. 2017	Springer International Publishing
Co-Occurrence	Shashi Shekhar; Hui Xiong	Encyclopedia of GIS	Shashi Shekhar; Hui Xiong	2008	Springer US
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