"Visual Saliency Computation: A Machine Learning Perspective"

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Book	Author(s)	Year	Publisher
Visual Saliency Computation: A Machine Learning Perspective	Jia Li; Wen Gao	2014	Springer International Publishing
Machine learning: a probabilistic perspective	Kevin P Murphy	2012	MIT Press
Machine learning: a probabilistic perspective /	Murphy, Kevin P.,	©2012.	MIT Press,
Deep Learning: Adaptive Computation and Machine Learning	Ian Goodfellow and Yoshua Bengio and Aaron Courville	2016	The MIT Press
Deep learning: adaptive computation and machine learning	Bengio, Yoshua; Courville, Aaron; Goodfellow, Ian J	2016	The MIT Press
Probabilistic Numerics: Computation as Machine Learning	Philipp Hennig; Michael A. Osborne; Hans P. Kersting	2022-06	Cambridge University Press
Tuning Metaheuristics: A Machine Learning Perspective	Mauro Birattari	2009	Springer Berlin Heidelberg
Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)	Ethem Alpaydin	2010	The MIT Press
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Machine Learning and Visual Perception	Baochang Zhang; Tsinghua University Press	2020	De Gruyter
Machine Learning: An Algorithmic Perspective	Stephen Marsland	2014	Routledge
Structural Health Monitoring - A Machine Learning Perspective	Charles R. Farrar	2012	John Wiley & Sons
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Machine Learning and IoT: A Biological Perspective	Shampa Sen; Leonid Datta; Sayak Mitra	2018	Routledge
Machine Learning with Health Care Perspective: Machine Learning and Healthcare	Vishal Jain; Jyotir Moy Chatterjee	1st ed. 2020	Springer International Publishing
Visual Quality Assessment by Machine Learning	Long Xu; Weisi Lin; C.-C. Jay Kuo	2015	Springer Nature Singapore
Visual Knowledge Discovery and Machine Learning	Boris Kovalerchuk	1st ed. 2018	Springer International Publishing
Data Analytics in Bioinformatics - A Machine Learning Perspective	Rabinarayan Satpathy; Tanupriya Choudhury; Suneeta Satpathy; Sachi Nandan Mohanty; Xiaobo Zhang	2021	John Wiley & Sons
Nature-Inspired Computation in Data Mining and Machine Learning	Xin-She Yang; Xing-Shi He	1st ed. 2020	Springer International Publishing
Reverse Hypothesis Machine Learning: A Practitioner' s Perspective	Parag Kulkarni	1st ed. 2017	Springer International Publishing
Boook	Author(s)	Year	Publisher

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning-Based Visual Saliency Computation	Jia Li; Wen Gao	Visual Saliency Computation: A Machine Learning Perspective	Jia Li; Wen Gao	2014	Springer International Publishing
Location-Based Visual Saliency Computation	Jia Li; Wen Gao	Visual Saliency Computation: A Machine Learning Perspective	Jia Li; Wen Gao	2014	Springer International Publishing
Object-Based Visual Saliency Computation	Jia Li; Wen Gao	Visual Saliency Computation: A Machine Learning Perspective	Jia Li; Wen Gao	2014	Springer International Publishing
Visual saliency		Opencv: Computer Vision Projects with Python	Michael Beyeler; Prateek Joshi; Joseph Howse	2017	Packt Publishing
Visual saliency		OpenCV with Python blueprints: ǂb design and develop advanced computer vision projects using OpenCV with Python / ǂc Michael Beyeler	Beyeler, Michael ǂe author	2015	ǂb Packt Publishing
A Machine Learning Perspective	George K. Knopf	Smart biosensor technology /	Knopf, George K.; Bassi, Amarjeet S.	©2007.	CRC Press,
Machine learning perspective		Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman & Hall – CRC
Machine learning perspective		Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman and Hall/CRC
Shape Machine: A Primer for Visual Computation	Athanassios Economou; Tzu-Chieh (Kurt) Hong; Heather Ligler; James Park	A New Perspective of Cultural DNA	Ji-Hyun Lee	1st ed. 2021	Springer Nature Singapore
Understanding visual saliency		OpenCV 4 with Python Blueprints: Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3. 8	Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler	2020	Packt Publishing
Mapping visual saliency		OpenCV 4 with Python Blueprints: Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3. 8	Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler	2020	Packt Publishing
Adaptive Computation and Machine Learning		Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation	Masashi Sugiyama; Motoaki Kawanabe	2012	The MIT Press
95 Machine-learning-based video-saliency detection		Applications of Machine Learning in Wireless Communications (Telecommunications)	Ruisi He (editor), Zhiguo Ding (editor)	2019	The Institution of Engineering and Technology
The machine learning perspective		Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps	Denis Rothman	2020	Packt Publishing
Machine Learning – A Machine''s Perspective on Positioning		Advanced Positioning, Flow, and Sentiment Analysis in Commodity Markets, Second Edition - Bridging Fundamental and Technical Analysis	Mark J S Keenan	2020	John Wiley & Sons
Bioclimatic Modelling: A Machine Learning Perspective	Maumita Bhattacharya	Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering	Tarek Sobh; Khaled Elleithy	2015	Springer International Publishing
Argument Mining: A Machine Learning Perspective	Marco Lippi; Paolo Torroni	Theory and Applications of Formal Argumentation: Third International Workshop, TAFA 2015, Buenos Aires, Argentina, July 25-26, 2015, Revised Selected Papers	Elizabeth Black; Sanjay Modgil; Nir Oren	1st ed. 2015	Springer International Publishing
Knowledge Augmentation: A Machine Learning Perspective		Reinforcement and Systemic Machine Learning for Decision Making	Parag Kulkarni	2012	Wiley-IEEE Press
Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency	Neil D. B. Bruce; John K. Tsotsos	Attention in Cognitive Systems: International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers	Lucas Paletta; John K. Tsotsos	2009	Springer Berlin Heidelberg
Visual Computation	Paul A. Kolers	Human and Machine Vision	Jacob Beck; Barbara Hope and Azriel Rosenfeld	1983	Academic Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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