Ying Wu

Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers andpractitioners.

"Arome din Asia" este ghidul tău pentru a explora bucătăria autentică a Orientului și a descoperi aromele vibrante și gusturile unice din Asia. Fie că ți place să gătești deja preparate asiatice sau ești curios să ncerci ceva nou, această carte de bucate ți va oferi tot ceea ce ai nevoie pentru a crea preparate delicioase acasă. Fiecare rețetă este concepută pentru a capta esența gusturilor asiatice autentice și pentru a-ți satisface papilele gustative. De la supe și salate p nă la m ncăruri principale și deserturi, această carte de bucate cuprinde preparate din ntreaga Asia, precum stir-fry chinezesc, curry thailandez, sushi japonez și multe altele. Fiecare rețetă este nsoțită de instrucțiuni clare și imagini atractive, astfel nc t să poți vedea exact cum să pregătești preparatul. n plus, vei nvăța despre istoria și cultura culinară asiatică, astfel nc t să poți nțelege mai bine aromele și gusturile din spatele preparatelor. Indiferent dacă dorești să gătești pentru prieteni și familie sau pur și simplu dorești să ți extinzi cunoștințele culinare, "Arome din Asia" este cartea perfectă pentru tine.

This book places the topic of the state and society in the context of modern development in China over the past century, investigating the dynamic relation and internal tension between the state’s power enhancement and society’s vitality activation instead of simply regarding the country and society as two separate entities. Building a modern country and activating the people’s vitality involves three closely linked and mutually supporting aspects: establishing the identity recognition of the people to unite the nation; adjusting the organizational system of the society to promote mobilization and institute a social incentive system; and determining dominant strategies and means for the interaction between the country and society to address social-governance issues. This book carefully sheds light on the logic behind China’s roundabout strategy for building a modern country and motivating the vitality of its people.

This study, first published in 1994, is intended to deepen the readers understanding of the phenomenon of equilibrium credit rationing in two areas. The first area concerns the form that equilibrium credit rationing assumes and its importance in determining the behaviour of interest rates. The second concerns the role of equilibrium credit rationing in transmitting monetary shocks to the real sector. This title will be of interest to students of monetary economics.

This book places the topic of the state and society in the context of modern development in China over the past century, investigating the dynamic relation and internal tension between the state’s power enhancement and society’s vitality activation instead of simply regarding the country and society as two separate entities. Building a modern country and activating the people’s vitality involves three closely linked and mutually supporting aspects: establishing the identity recognition of the people to unite the nation; adjusting the organizational system of the society to promote mobilization and institute a social incentive system; and determining dominant strategies and means for the interaction between the country and society to address social-governance issues. This book carefully sheds light on the logic behind China’s roundabout strategy for building a modern country and motivating the vitality of its people.

This study, first published in 1994, is intended to deepen the readers understanding of the phenomenon of equilibrium credit rationing in two areas. The first area concerns the form that equilibrium credit rationing assumes and its importance in determining the behaviour of interest rates. The second concerns the role of equilibrium credit rationing in transmitting monetary shocks to the real sector. This title will be of interest to students of monetary economics.

This is the fourth volume in a series of books focusing on natural gas engineering, focusing on two of the most important issues facing the industry today: disposal and enhanced recovery of natural gas. This volume includes information for both upstream and downstream operations, including chapters on shale, geological issues, chemical and thermodynamic models, and much more. Written by some of the most well-known and respected chemical and process engineers working with natural gas today, the chapters in this important volume represent the most cutting-edge and state-of-the-art processes and operations being used in the field. Not available anywhere else, this volume is a must-have for any chemical engineer, chemist, or process engineer working with natural gas. There are updates of new technologies in other related areas of natural gas, in addition to disposal and enhanced recovery, including sour gas, acid gas injection, and natural gas hydrate formations. Advances in Natural Gas Engineering is an ongoing series of books meant to form the basis for the working library of any engineer working in natural gas today. Every volume is a must-have for any engineer or library.

Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets. We then consider extensions of the basic mappings which maintain some topology of the original data space. Finally we show how reinforcement learning can be used as a clustering mechanism before turning to projection methods. We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis, exploratory projection pursuit and canonical correlation analysis. The new method of cross entropy adaptation is then introduced and used as a means of optimising projections. Finally an artificial immune system is used to create optimal projections and combinations of these three methods are shown to outperform the individual methods of optimisation.

Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets. We then consider extensions of the basic mappings which maintain some topology of the original data space. Finally we show how reinforcement learning can be used as a clustering mechanism before turning to projection methods. We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis, exploratory projection pursuit and canonical correlation analysis. The new method of cross entropy adaptation is then introduced and used as a means of optimising projections. Finally an artificial immune system is used to create optimal projections and combinations of these three methods are shown to outperform the individual methods of optimisation.