Liang Wang – författare

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

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.

The 21st century is steeped in claims to interconnection, technological innovation, and new affective intensities amid challenges to the primacy and centrality of "the human". Flashpoint epistemology attends to the lived difficulties that arise in teaching, policymaking, curriculum, and research among continuous practices of differentiation, and for which there is no pre-existing template for judgment, resolution, or action.

Flashpoint Epistemology Volume 1 examines contemporary collisions and reworkings of cultural-political issues in education through arts and humanities-based approaches. How and whether lines are (re)drawn in educational practice – and via who-what – between justice, morality, religion, ethics, subjectivities, intersectionality, the sublime, and the senses are a particular focus. The volume offers innovative relational approaches and new narrativization strategies, examining the aporia experienced when operating in educational domains of inevitable, recurring, difficult, fortuitous, and/or unforeseen flashpoints.

The chapters will engage researchers seeking new approaches to education’s complexities, nested discourses, and ever-moving horizons of enactment. It will also benefit post/graduate students and teachers whose work intersects with sociological, philosophical, and cultural studies and who are curious about claims to interconnection, the ethical quandaries embedded in practice, and the affordances and limits of technological innovation.

The 21st century is steeped in claims to interconnection, technological innovation, and new affective intensities amid challenges to the primacy and centrality of "the human". Flashpoint epistemology attends to the lived difficulties that arise in teaching, policymaking, curriculum, and research among continuous practices of differentiation, and for which there is no pre-existing template for judgment, resolution, or action.

Flashpoint Epistemology Volume 1 examines contemporary collisions and reworkings of cultural-political issues in education through arts and humanities-based approaches. How and whether lines are (re)drawn in educational practice – and via who-what – between justice, morality, religion, ethics, subjectivities, intersectionality, the sublime, and the senses are a particular focus. The volume offers innovative relational approaches and new narrativization strategies, examining the aporia experienced when operating in educational domains of inevitable, recurring, difficult, fortuitous, and/or unforeseen flashpoints.

The chapters will engage researchers seeking new approaches to education’s complexities, nested discourses, and ever-moving horizons of enactment. It will also benefit post/graduate students and teachers whose work intersects with sociological, philosophical, and cultural studies and who are curious about claims to interconnection, the ethical quandaries embedded in practice, and the affordances and limits of technological innovation.

The 21st century is steeped in claims to interconnection, technological innovation, and new affective intensities amid challenges to the primacy and centrality of "the human". Flashpoint epistemology attends to the lived difficulties that arise in teaching, policymaking, curriculum, and research among continuous practices of differentiation, and for which there is no pre-existing template for judgment, resolution, or action.

Flashpoint Epistemology Volume 2 brings creative sociopolitical research perspectives to flashpoints that emerge amid appeals to globalization, synoptic policy approaches, and new technologies – however defined. The chapters challenge prevailing notions of distance and difference, comparative philosophy, worlding practices, and contact zones. In the remaking of subjects, the unhoming of geopolitics, and new approaches to relationality, youth, and classrooms, complexities in preserving and questioning identity are laid bare and renovated. How technologies challenge and redefine racialization, engendering, and inter/nationalization are examined amid the reworking of oppression, success, well-being, politics, method, and power.

The volume will be beneficial for researchers seeking new approaches to education’s complexities, nested discourses, and ever-moving horizons of enactment. It is also a key text for post/graduate students and teachers interested in technological impact, globality, policymaking, and new ways of conducting research in contexts of digitalization and social media.

The 21st century is steeped in claims to interconnection, technological innovation, and new affective intensities amid challenges to the primacy and centrality of "the human". Flashpoint epistemology attends to the lived difficulties that arise in teaching, policymaking, curriculum, and research among continuous practices of differentiation, and for which there is no pre-existing template for judgment, resolution, or action.

Flashpoint Epistemology Volume 2 brings creative sociopolitical research perspectives to flashpoints that emerge amid appeals to globalization, synoptic policy approaches, and new technologies – however defined. The chapters challenge prevailing notions of distance and difference, comparative philosophy, worlding practices, and contact zones. In the remaking of subjects, the unhoming of geopolitics, and new approaches to relationality, youth, and classrooms, complexities in preserving and questioning identity are laid bare and renovated. How technologies challenge and redefine racialization, engendering, and inter/nationalization are examined amid the reworking of oppression, success, well-being, politics, method, and power.

The volume will be beneficial for researchers seeking new approaches to education’s complexities, nested discourses, and ever-moving horizons of enactment. It is also a key text for post/graduate students and teachers interested in technological impact, globality, policymaking, and new ways of conducting research in contexts of digitalization and social media.

A comprehensive introduction to the design, synthesis, characterization, and catalytic properties of nanoporous catalysts for the biomass conversion 

With the specter of peak oil demand looming on the horizon, and mounting concerns over the environmental impact of greenhouse gas emissions, biomass has taken on a prominent role as a sustainable alternative fuel source. One critical aspect of the biomass challenge is the development of novel catalytic materials for effective and controllable biomass conversion. Edited by two scientists recognized internationally for their pioneering work in the field, this book focuses on nanoporous catalysts, the most promising class of catalytic materials for the conversion of biomass into fuel and other products.

Although various catalysts have been used in the conversion of biomass-derived feedstocks, nanoporous catalysts exhibit high catalytic activities and/or unique product selectivities due to their large surface area, open nanopores, and highly dispersed active sites. This book covers an array of nanoporous catalysts currently in use for biomass conversion, including resins, metal oxides, carbons, mesoporous silicates, polydivinylbenzene, and zeolites. The authors summarize the design, synthesis, characterization and catalytic properties of these nanoporous catalysts for biomass conversions, discussing the features of these catalysts and considering future opportunities for developing more efficient catalysts. Topics covered include:

Timely, authoritative, and comprehensive, Nanoporous Catalysts for Biomass Conversion is a valuable working resource for academic researchers, industrial scientists and graduate students working in the fields of biomass conversion, catalysis, materials science, green and sustainable chemistry, and chemical/process engineering.

A comprehensive introduction to the design, synthesis, characterization, and catalytic properties of nanoporous catalysts for the biomass conversion 

With the specter of peak oil demand looming on the horizon, and mounting concerns over the environmental impact of greenhouse gas emissions, biomass has taken on a prominent role as a sustainable alternative fuel source. One critical aspect of the biomass challenge is the development of novel catalytic materials for effective and controllable biomass conversion. Edited by two scientists recognized internationally for their pioneering work in the field, this book focuses on nanoporous catalysts, the most promising class of catalytic materials for the conversion of biomass into fuel and other products.

Although various catalysts have been used in the conversion of biomass-derived feedstocks, nanoporous catalysts exhibit high catalytic activities and/or unique product selectivities due to their large surface area, open nanopores, and highly dispersed active sites. This book covers an array of nanoporous catalysts currently in use for biomass conversion, including resins, metal oxides, carbons, mesoporous silicates, polydivinylbenzene, and zeolites. The authors summarize the design, synthesis, characterization and catalytic properties of these nanoporous catalysts for biomass conversions, discussing the features of these catalysts and considering future opportunities for developing more efficient catalysts. Topics covered include:

Timely, authoritative, and comprehensive, Nanoporous Catalysts for Biomass Conversion is a valuable working resource for academic researchers, industrial scientists and graduate students working in the fields of biomass conversion, catalysis, materials science, green and sustainable chemistry, and chemical/process engineering.

The three-volume set LNCS 11857, 11858, and 11859 constitutes the refereed proceedings of the Second Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019, held in Xi’an, China, in November 2019. The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.