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Unrestricted Warfare - China's Master Plan to Destroy America (Hardcover): Qiao Liang, Wang Xiangsui Unrestricted Warfare - China's Master Plan to Destroy America (Hardcover)
Qiao Liang, Wang Xiangsui
R595 Discovery Miles 5 950 Ships in 10 - 15 working days
Unrestricted Warfare - China's Master Plan to Destroy America (Paperback): Qiao Liang, Wang Xiangsui Unrestricted Warfare - China's Master Plan to Destroy America (Paperback)
Qiao Liang, Wang Xiangsui
R422 Discovery Miles 4 220 Ships in 10 - 15 working days
Advanced Laser Process for Surface Enhancement (Hardcover, 1st ed. 2021): Jianhua Yao, Bo Li, Liang Wang Advanced Laser Process for Surface Enhancement (Hardcover, 1st ed. 2021)
Jianhua Yao, Bo Li, Liang Wang
R4,468 Discovery Miles 44 680 Ships in 10 - 15 working days

Two typical hybrid laser surface modification processes, i.e. electro/magnetic field aided laser process and supersonic laser deposition technology, are introduced in the book, to solve the common problems in quality control and low efficiency of the laser-only surface modification technology, high contamination and high consumption of the traditional surface modification technology. This book focuses on the principle, characteristics, special equipment, process and industrial applications of the hybrid laser surface modification processes based on the recent research results of the author's group, and provides theoretical guidance and engineering reference for the researchers and engineers engaging in the field of surface engineering and manufacturing.

Machine Learning for Vision-Based Motion Analysis - Theory and Techniques (Hardcover, Edition.): Liang Wang, Guoying Zhao, Li... Machine Learning for Vision-Based Motion Analysis - Theory and Techniques (Hardcover, Edition.)
Liang Wang, Guoying Zhao, Li Cheng, Matti Pietikainen
R4,299 Discovery Miles 42 990 Ships in 10 - 15 working days

Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.

Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.

Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.

Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.

Behavioral Biometrics for Human Identification - Intelligent Applications (Hardcover): Liang Wang, Xin Geng Behavioral Biometrics for Human Identification - Intelligent Applications (Hardcover)
Liang Wang, Xin Geng
R6,566 Discovery Miles 65 660 Ships in 10 - 15 working days

Automatic biometrics recognition techniques are becoming increasingly important in corporate and public security systems and have increased in methods due to rapid field development. ""Behavioral Biometrics for Human Identification: Intelligent Applications"" discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. A critical mass of research, this innovative collection serves as an important reference tool for researchers, practitioners, academicians, and technologists.

Analysis and Design of Singular Markovian Jump Systems (Hardcover, 2015 ed.): Guo-Liang Wang, Qingling Zhang, Xinggang Yan Analysis and Design of Singular Markovian Jump Systems (Hardcover, 2015 ed.)
Guo-Liang Wang, Qingling Zhang, Xinggang Yan
R4,418 R3,488 Discovery Miles 34 880 Save R930 (21%) Ships in 12 - 17 working days

This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat's Lemma, among other techniques. Features of the book include: * study of the stability problem for SMJSs with general transition rate matrices (TRMs); * stabilization for SMJSs by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints; * mode-dependent and mode-independent H control solutions with development of a type of disordered controller; * observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent; * consideration of robust H filtering in terms of uncertain TRM or filter parameters leading to a method for totally mode-independent filtering * development of LMI-based conditions for a class of adaptive state feedback controllers with almost-certainly-bounded estimated error and almost-certainly-asymptotically-stable corres ponding closed-loop system states * applications of Markov process on singular systems with norm bounded uncertainties and time-varying delays Analysis and Design of Singular Markovian Jump Systems contains valuable reference material for academic researchers wishing to explore the area. The contents are also suitable for a one-semester graduate course.

Unrestricted Warfare - China's Master Plan to Destroy America (Hardcover, Reprint ed.): Qiao Liang, Wang Xiangsui Unrestricted Warfare - China's Master Plan to Destroy America (Hardcover, Reprint ed.)
Qiao Liang, Wang Xiangsui
R698 R651 Discovery Miles 6 510 Save R47 (7%) Ships in 12 - 17 working days
Interpretation of Green Mine Evaluation Index (Hardcover, 1st ed. 2022): Jiushuai Deng, Suping Peng, Liang Wang, Yinli Bi, Jun... Interpretation of Green Mine Evaluation Index (Hardcover, 1st ed. 2022)
Jiushuai Deng, Suping Peng, Liang Wang, Yinli Bi, Jun Yao, …
R3,558 Discovery Miles 35 580 Ships in 10 - 15 working days

This book focuses on green mine evaluation. It includes green mine evaluation methods, evaluation content, evaluation indicators, etc. The "Green Mine Evaluation Index" has been issued by the Ministry of Natural Resources of China. In order to promote mining enterprises, green mine consulting service agencies, third-party evaluation agencies and mining administration personnel to better understand and practice the provisions of green mine evaluation indicators, the authors wrote this "Interpretation of Green Mine Evaluation Index". The content of this book specifically includes introduction, prerequisites for green mine selection, score sheet of green mine construction, related knowledge, as well as introduction of specific green mine evaluation items, including mining area environment, resource development methods, comprehensive utilization of ore resources, energy saving and emission reduction, technological innovation and smart mines, corporate management and corporate image, etc. The relevant concepts, relevant laws and policies, implementation measures, inspection points, and materials that enterprises should provide, have been vividly expounded based on the actual situation and specific cases of green mine construction. This book is useful as a reference for managers, engineering and technical personnels, teachers and students from mining enterprises, government departments, consulting services and evaluation agencies, colleges and secondary professional schools.

Health Technology Assessment, Courts and the Right to Healthcare (Hardcover): Daniel Wei Liang Wang Health Technology Assessment, Courts and the Right to Healthcare (Hardcover)
Daniel Wei Liang Wang
R3,982 Discovery Miles 39 820 Ships in 12 - 17 working days

Both developing and developed countries face an increasing mismatch between what patients expect to receive from healthcare and what the public healthcare systems can afford to provide. Where there has been a growing recognition of the entitlement to receive healthcare, the frustrated expectations with regards to the level of provision has led to lawsuits challenging the denial of funding for health treatments by public health systems. This book analyses the impact of courts and litigation on the way health systems set priorities and make rationing decisions. In particular, it focuses on how the judicial protection of the right to healthcare can impact the institutionalization, functioning and centrality of Health Technology Assessment (HTA) for decisions about the funding of treatment. Based on the case study of three jurisdictions - Brazil, Colombia, and England - it shows that courts can be a key driver for the institutionalization of HTA. These case studies show the paradoxes of judicial control, which can promote accountability and impair it, demand administrative competence and undermine bureaucratic capacities. The case studies offer a nuanced and evidence-informed understanding of these paradoxes in the context of health care by showing how the judicial control of priority-setting decisions in health care can be used to require and control an explicit scheme for health technology assessment, but can also limit and circumvent it. It will be essential for those researching Medical Law and Healthcare Policy, Human Rights Law, and Social Rights.

Video Search and Mining (Hardcover, 2010 ed.): Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang Video Search and Mining (Hardcover, 2010 ed.)
Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang
R4,303 Discovery Miles 43 030 Ships in 10 - 15 working days

As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.

Advanced Laser Process for Surface Enhancement (Paperback, 1st ed. 2021): Jianhua Yao, Bo Li, Liang Wang Advanced Laser Process for Surface Enhancement (Paperback, 1st ed. 2021)
Jianhua Yao, Bo Li, Liang Wang
R4,436 Discovery Miles 44 360 Ships in 10 - 15 working days

Two typical hybrid laser surface modification processes, i.e. electro/magnetic field aided laser process and supersonic laser deposition technology, are introduced in the book, to solve the common problems in quality control and low efficiency of the laser-only surface modification technology, high contamination and high consumption of the traditional surface modification technology. This book focuses on the principle, characteristics, special equipment, process and industrial applications of the hybrid laser surface modification processes based on the recent research results of the author's group, and provides theoretical guidance and engineering reference for the researchers and engineers engaging in the field of surface engineering and manufacturing.

Architecture of Advanced Numerical Analysis Systems - Designing a Scientific Computing System using OCaml (Paperback, 1st ed.):... Architecture of Advanced Numerical Analysis Systems - Designing a Scientific Computing System using OCaml (Paperback, 1st ed.)
Liang Wang, Jianxin Zhao
R1,274 R1,041 Discovery Miles 10 410 Save R233 (18%) Ships in 10 - 15 working days

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation Use the Zoo system for efficient scripting, code sharing, service deployment, and composition Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

Context-Aware Collaborative Prediction (Paperback, 1st ed. 2017): Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan Context-Aware Collaborative Prediction (Paperback, 1st ed. 2017)
Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan
R1,469 Discovery Miles 14 690 Ships in 10 - 15 working days

This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through rate prediction. The proposed techniques offer significant improvements over current methods, the key determinants being the incorporated contextual representation and hierarchical representation. To provide a background to the core ideas presented, it offers an overview of contextual modeling and the theory of contextual representation and hierarchical representation, which are constructed for the joint interaction of entities and contextual information. The book offers a rich blend of theory and practice, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information.

Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I... Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I (Paperback, 1st ed. 2017)
Jinfeng Yang, Qinghua Hu, Mingming Cheng, Liang Wang, Qingshan Liu, …
R2,935 Discovery Miles 29 350 Ships in 10 - 15 working days

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II... Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II (Paperback, 1st ed. 2017)
Jinfeng Yang, Qinghua Hu, Mingming Cheng, Liang Wang, Qingshan Liu, …
R1,572 Discovery Miles 15 720 Ships in 10 - 15 working days

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection

Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III... Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III (Paperback, 1st ed. 2017)
Jinfeng Yang, Qinghua Hu, Mingming Cheng, Liang Wang, Qingshan Liu, …
R2,922 Discovery Miles 29 220 Ships in 10 - 15 working days

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

Analysis and Design of Singular Markovian Jump Systems (Paperback, Softcover reprint of the original 1st ed. 2015): Guo-Liang... Analysis and Design of Singular Markovian Jump Systems (Paperback, Softcover reprint of the original 1st ed. 2015)
Guo-Liang Wang, Qingling Zhang, Xinggang Yan
R3,586 Discovery Miles 35 860 Ships in 10 - 15 working days

This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H∞ control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat’s Lemma, among other techniques. Features of the book include: ·         study of the stability problem for SMJSs with general transition rate matrices (TRMs); ·         stabilization for SMJSs by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints; ·         mode-dependent and mode-independent H∞ control solutions with development of a type of disordered controller; ·         observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent; ·         consideration of robust H∞ filtering in terms of uncertain TRM or filter parameters leading to a method for totally mode-independent filtering ·         development of LMI-based conditions for a class of adaptive state feedback controllers with almost-certainly-bounded estimated error and almost-certainly-asymptotically-stable corres ponding closed-loop system states ·         applications of Markov process on singular systems with norm bounded uncertainties and time-varying delays Analysis and Design of Singular Markovian Jump Systems contains valuable reference material for academic researchers wishing to explore the area. The contents are also suitable for a one-semester graduate course.

Computer Vision - CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I (Paperback,... Computer Vision - CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I (Paperback, 1st ed. 2015)
Honbin Zha, Xilin Chen, Liang Wang, Qiguang Miao
R2,807 Discovery Miles 28 070 Ships in 10 - 15 working days

The two volumes CCIS 546 and 547 constitute the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2015, held in Xi'an, China, in September 2015. The total of 89 revised full papers presented in both volumes were carefully reviewed and selected from 176 submissions. The papers address issues such as computer vision, machine learning, pattern recognition, target recognition, object detection, target tracking, image segmentation, image restoration, face recognition, image classification.

Multidisciplinary Social Networks Research - International Conference, MISNC 2014, Kaohsiung, Taiwan, September 13-14, 2014.... Multidisciplinary Social Networks Research - International Conference, MISNC 2014, Kaohsiung, Taiwan, September 13-14, 2014. Proceedings (Paperback, 2014 ed.)
Leon Shyue-Liang Wang, Jason J. June, Chung-Hong Lee, Koji Okuhara, Hsin-Chang Yang
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the 2014 Multidisciplinary International Social Networks Research, MISNC 2014, held in Kaohsiung, Taiwan, in September 2014. The 37 full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on electronic commerce, e-business management, and social networks; social networks issues on sociology, politics and statistics; information technology for social networks analysis and mining; social networks for global eHealth and bio-medics; security, open data, e-learning and other related topics; intelligent data analysis and its applications.

Intelligent Data analysis and its Applications, Volume II - Proceeding of the First Euro-China Conference on Intelligent Data... Intelligent Data analysis and its Applications, Volume II - Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, June 13-15, 2014, Shenzhen, China (Paperback, 2014 ed.)
Jeng-Shyang Pan, Vaclav Snasel, Emilio S. Corchado, Ajith Abraham, Shyue-Liang Wang
R7,167 Discovery Miles 71 670 Ships in 10 - 15 working days

This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014. ECC 2014 was technically co-sponsored by Shenzhen Municipal People s Government, IEEE Signal Processing Society, Machine Intelligence Research Labs, VSB-Technical University of Ostrava (Czech Republic), National Kaohsiung University of Applied Sciences (Taiwan), and Secure E-commerce Transactions (Shenzhen) Engineering Laboratory of Shenzhen Institute of Standards and Technology."

Intelligent Data analysis and its Applications, Volume I - Proceeding of the First Euro-China Conference on Intelligent Data... Intelligent Data analysis and its Applications, Volume I - Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, June 13-15, 2014, Shenzhen, China (Paperback, 2014 ed.)
Jeng-Shyang Pan, Vaclav Snasel, Emilio S. Corchado, Ajith Abraham, Shyue-Liang Wang
R6,972 Discovery Miles 69 720 Ships in 10 - 15 working days

This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014. ECC 2014 was technically co-sponsored by Shenzhen Municipal People's Government, IEEE Signal Processing Society, Machine Intelligence Research Labs, VSB-Technical University of Ostrava (Czech Republic), National Kaohsiung University of Applied Sciences (Taiwan), and Secure E-commerce Transactions (Shenzhen) Engineering Laboratory of Shenzhen Institute of Standards and Technology.

Advances in Image and Graphics Technologies - Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings... Advances in Image and Graphics Technologies - Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings (Paperback, 2013 ed.)
Tieniu Tan, Qiuqi Ruan, Xilin Chen, Huimin Ma, Liang Wang
R1,486 Discovery Miles 14 860 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2013, held in Beijing, China, in April 2013. The 40 papers and posters presented were carefully reviewed and selected from 89 submissions. The papers address issues such as the generation of new ideas, new approaches, new techniques, new applications and new evaluation in the field of image processing and graphics.

Machine Learning for Vision-Based Motion Analysis - Theory and Techniques (Paperback, 2011 ed.): Liang Wang, Guoying Zhao, Li... Machine Learning for Vision-Based Motion Analysis - Theory and Techniques (Paperback, 2011 ed.)
Liang Wang, Guoying Zhao, Li Cheng, Matti Pietikainen
R4,255 Discovery Miles 42 550 Ships in 10 - 15 working days

Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.

Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.

Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.

Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.

Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings (Paperback, 2012 ed.):... Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings (Paperback, 2012 ed.)
Chenglin Liu, Changshui Zhang, Liang Wang
R1,588 Discovery Miles 15 880 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the Chinese Conference on Pattern Recognition, CCPR 2012, held in Beijing, China, in September 2012. The 82 revised full papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on pattern recognition theory; computer vision; biometric recognition; medical imaging; image and video analysis; document analysis; speech processing; natural language processing and information retrieval.

Video Search and Mining (Paperback, 2010 ed.): Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang Video Search and Mining (Paperback, 2010 ed.)
Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang
R4,259 Discovery Miles 42 590 Ships in 10 - 15 working days

As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.

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