"Co-occurrence Random Forests for Object Localization and Classification"

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Book	Author(s)	Year	Publisher
Random Forests	Yu. L. Pavlov	2000	De Gruyter
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.
Random Forests with R	Robin Genuer; Jean-Michel Poggi	1st ed. 2020	Springer International Publishing
Real-Time Object Measurement and Classification	Anil K. Jain	1988	Springer Berlin Heidelberg
In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands	Martin Pfanne	1st ed. 2022	Springer International Publishing
Rock classification on three co-ordinates	Alexander Newton Winchell
Vegetation Survey and Classification of Subtropical Forests of Southern Africa	Ladislav Mucina	1st ed. 2018	Springer International Publishing
A habitat type classification system for ponderosa pine forests of northern Arizona	J. P. Hanks	1983
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Status of the Gila topminnow and its co-occurrence with mosquitofish	W. L. Minckley	1977	Rocky Mountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture
Occurrence of armillaria spp. in forests of the northern Rocky Mountains	G. I. McDonald	1987	U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station
Distributed Sensor Arrays Localization: Localization	Prabhakar S. Naidu	2017	Routledge
The multivariate one-way classification model with random effects		1981
Correlation and Localization	Peter R. Surjan	1999	Springer Berlin Heidelberg
Anatomic Localization for Needle EMG	Steve R. Geiringer	July 15, 1999	Hanley & Belfus
Data fusion techniques for object space classification using airborne laser data and airborne digital photographs	Joong Yong Park	2002
A site classification for the mixed-conifer selection forests of the Sierra Nevada	Duncan Dunning	1942	California Forest and Range Experiment Station
Occurrence /	Kuusisto, Pekka,; Caroli, Mario,; Daníel Bjarnason,; Daníel Bjarnason,; Vaka, Veronique.; Kaukur Tómasson.; Thurídur Jónsdóttir.; Magnús Blöndal Jóhansson.
Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept	Kumar S. Ray	2012	Springer New York
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Random forests for classification		Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
Random Forests for Object Detection	Mingming Zhu; Lang Ye; Siyu Xia; Hong Pan	Proceedings of the 2015 Chinese Intelligent Automation Conference: Intelligent Information Processing	Zhidong Deng; Hongbo Li	2015	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 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
Ordinal Random Forests for Object Detection	Samuel Schulter; Peter M. Roth; Horst Bischof	Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013, Proceedings	Joachim Weickert; Matthias Hein; Bernt Schiele	2013	Springer Berlin Heidelberg
Random Forests for Localization of Spinal Anatomy	B. Glocker; E. Konukoglu; D.R. Haynor	Medical Image Recognition, Segmentation and Parsing	Kevin Zhou	2016	Academic Press
Object classification, localization, and detection		Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs	MD Rezaul Karim	2018	Packt Publishing
Object classification, localization, and detection		Java Deep Learning Projects - Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs.	Rezaul Karim	2018	Packt
Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification	Wan-Chi Siu; Xue-Fei Yang; Li-Wen Wang; Jun-Jie Huang; Zhi-Song Liu	Learning Approaches in Signal Processing	Wan-Chi Siu; Lap-Pui Chau; Liang Wang; Tieniu Tang	2018	Routledge
Learning Co-occurrence Embeddings for Sentence Classification	Triveni Lal Pal; Kamlesh Dutta	Cyber Warfare, Security and Space Research: First International Conference, SpacSec 2021, Jaipur, India, December 9–10, 2021, Revised Selected Papers	Sandeep Joshi; Amit Kumar Bairwa; Amita Nandal; Milena Radenkovic; Cem Avsar	1st ed. 2022	Springer International Publishing
Oxides Classification with Random Forests	Kai Xiao; Baitong Chen; Wenzheng Bao; Honglin Cheng	Intelligent Computing Theories and Application: 18th International Conference, ICIC 2022, Xi' an, China, August 7–11, 2022, Proceedings, Part II	De-Shuang Huang; Kang-Hyun Jo; Junfeng Jing; Prashan Premaratne; Vitoantonio Bevilacqua; Abir Hussain	1st ed. 2022	Springer International Publishing
Decision Trees and Random Forests for Regression and Classification	Ryan G. McClarren	Machine Learning for Engineers: Using data to solve problems for physical systems	Ryan G. McClarren	1st ed. 2021	Springer International Publishing
Chapter 2 Classification, Causes, and Co-occurrence		Children's Speech: An Evidence-Based Approach to Assessment and Intervention	Sharynne McLeod, Elise Baker	2017	Pearson
Shape-Based Co-occurrence Matrices for Defect Classification	Rami Rautkorpi; Jukka Iivarinen	Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005, Proceedings	Heikki Kalviainen; Jussi Parkkinen; Arto Kaarna	2005	Springer Berlin Heidelberg
Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB	Anita Prinzie; Dirk Van den Poel	Database and Expert Systems Applications: 18th International Conference, DEXA 2007, Regensburg, Germany, September 3-7, 2007, Proceedings	Roland Wagner; Norman Revell; Günther Pernul	2007	Springer Berlin Heidelberg
Random Forests Based Classification for Crops Ripeness Stages	Esraa Elhariri; Nashwa El-Bendary; Aboul Ella Hassanien; Amr Badr; Ahmed M. M. Hussein; Václav Snášel	Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014	Pavel Kömer; Ajith Abraham; Václav Snášel	2014	Springer International Publishing
Improving classification accuracy using random forests		Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning	Md. Rezaul Karim; Sridhar Alla	2017	Packt Publishing - ebooks Account
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
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