Bøger af Ying Wu

This year's Kids! San Diego Poetry Annual features 37 poems from children and pre-teenagers, ages 5 to 12, plus a dozen drawings produced in workshops led by premier poet-teachers and hosted both in person and remotely.

"Arome din Asia" este ghidul t¿u pentru a explora buc¿t¿ria autentic¿ a Orientului ¿i a descoperi aromele vibrante ¿i gusturile unice din Asia. Fie c¿ î¿i place s¿ g¿te¿ti deja preparate asiatice sau e¿ti curios s¿ încerci ceva nou, aceast¿ carte de bucate î¿i va oferi tot ceea ce ai nevoie pentru a crea preparate delicioase acas¿.Fiecare re¿et¿ este conceput¿ pentru a capta esen¿a gusturilor asiatice autentice ¿i pentru a-¿i satisface papilele gustative. De la supe ¿i salate pân¿ la mânc¿ruri principale ¿i deserturi, aceast¿ carte de bucate cuprinde preparate din întreaga Asia, precum stir-fry chinezesc, curry thailandez, sushi japonez ¿i multe altele.Fiecare re¿et¿ este însöit¿ de instruc¿iuni clare ¿i imagini atractive, astfel încât s¿ pöi vedea exact cum s¿ preg¿te¿ti preparatul. În plus, vei înv¿¿a despre istoria ¿i cultura culinar¿ asiatic¿, astfel încât s¿ pöi în¿elege mai bine aromele ¿i gusturile din spatele preparatelor.Indiferent dac¿ dore¿ti s¿ g¿te¿ti pentru prieteni ¿i familie sau pur ¿i simplu dore¿ti s¿ î¿i extinzi cunötin¿ele culinare, "Arome din Asia" este cartea perfect¿ 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.

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.

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.