Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. - Discusses state-of-the-art procedures in learning-based local visual representation. - Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system - Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.
This book presents techniques such as the robust control and nonlinearity approximation using linear-parameter-varying (LPV) techniques. Meanwhile, the control of independently driven electric vehicles and autonomous vehicles is introduced. It covers a comprehensive literature review, robust state estimation with uncertain measurements, sideslip angle estimation with finite-frequency optimization, fault detection of vehicle steering systems, output-feedback control of in-wheel motor-driven electric vehicles, robust path following control with network-induced issues, and lateral motion control with the consideration of actuator saturation. This book is a good reference for researchers and engineers working on control of electric vehicles.
Learn and review Chinese grammar at a glance Of all the obstacles you face while learning a new language, grammar is one of the toughest. But now there's a way to learn the subtleties of grammar without all the headaches. Side by Side Chinese & English Grammar is the perfect tool to help you understand the similarities and differences between English and Chinese grammar. By learning Chinese grammar through comparisons to your native English language, you are able to build on what you already know. You will be better able to understand and remember Chinese grammar while writing, speaking, and being tested on Chinese usage. This innovative grammar guide includes: Clear and comprehensive introductions to the parts of speech, explaining their functions and answering common questions about them Quick Check sections that summarize main ideas Appendices that identify possible grammar trouble spots, such as measure words and individual classifiers Numerous verb charts with side-by-side Chinese and English translations for easy understanding of each tense's meaning An exercise section with answer key to test and review your knowledge Side by Side Chinese & English Grammar gives you a firm grasp of the structure of both languages and sets the stage for true language mastery.
This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs). These problems addressed in the book are of both fundamental and practical importance. Specifically, the book delivers a comprehensive treatment on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: energy-efficient clustering-based leader election algorithms in WBSNs; MAC protocol for duty-cycling WBSNs with concurrent traffic; multi-channel broadcast algorithms in duty-cycling WBSNs; and energy-efficient sleep scheduling algorithms in WBSNs. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on WBSNs and their applications, both from theoretical and engineering perspective.
Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. - Discusses state-of-the-art procedures in learning-based local visual representation. - Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system - Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.
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