This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition. Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presents a technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods. This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.

This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition. This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra.

Find some humor, sadness, joy, and everything in between in your life.

The author, Gaurav Patel, brings at least a few of these emotions to anyone who likes to read poetry. "Web of Life" includes the following: LonelinessDepressedHumorThoughtsHappiness

"Web of Life" is just simply everyday reading enjoyment.

Thoroughly updated to reflect the latest research, discoveries, and practices in this fast-changing field, Principles and Practice of Lymphedema Surgery, 2nd Edition, provides thorough, step-by-step guidance to incorporate or expand the treatment of lymphedema in your practice. Written and edited by world-renowned experts in the field of lymphedema and microsurgery, this highly visual reference helps deepen your understanding of each procedure and how to perform them. From preoperative assessment to postoperative care, you'll find authoritative instruction that equips you to implement the most innovative and latest surgical and nonsurgical approaches and achieve optimal outcomes for your patients. Provides an outstanding visual introduction to lymphedema and microsurgery techniques for treatment, as well as newer surgeries and more information on all available treatment options. Offers a step-by-step approach to each procedure, complete with tips and tricks of the trade from leading experts in plastic surgery and lymphedema microsurgery. Features eight all-new chapters covering primary lymphedema treatment, diagnostic tools of lymphoscintigraphy and indocyanine green lymphography, and immediate lymphatic reconstruction. Includes procedural videos of leading international experts performing advanced techniques such as end-end lymphovenous bypass, end-side lymphovenous bypass, submental vascularized lymph node flap, supraclavicular vascularized lymph node flap, and lymphatic vessel mapping with ICG. Enables quick navigation and comprehension with an intuitive, highly templated format and abundant photographs, illustrations, tables, diagrams, and case studies throughout. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

Focused and results-based, this important board review title covers everything that residents need to know when preparing for their Anesthesiology BASIC exam. Written by residents familiar with the exam, its use of bullet points and illustrations enables effective learning and efficient exam preparation. Providing a comprehensive review of all exam topics, the guide uses a clear and focused note-taking style to present 'high-yield' information, enabling efficient study techniques. Bullet points and short paragraphs feature to help rapid understanding, with margin space provided to annotate and add further notes. The helpful format ensures that all exam preparation, including notes from question banks, can be kept in this 'one-stop' review book. Mirroring the BASIC exam requirements, this book covers clinical anesthetic practice, pharmacology, physiology, anatomy, and anesthesia equipment and monitoring. Written by residents for residents, it is an essential preparation resource for the Anesthesiology BASIC exam.

The essential guide to today's hottest technical indicator-the Ichimoku Kinko Hyo cloud chart

Ichimoku Kinko Hyo is a technical system that illustrates support and resistance values in a simplified form and is considered an extension of the very popular candlestick charting system. In fact, the system was built on the idea that at "one glance" you should be able to determine whether an instrument is in equilibrium (consolidation) or out of equilibrium (trending).

Written in a straightforward and accessible style, "Trading with Ichimoku Clouds" offers a solid foundation in this discipline as well as its technical strategies. It shows you how to create and implement a trading plan based on this approach that can easily be tailored to your trading style.First available U.S. publication on this hot trading trendReveals how Ichimoku Clouds work in both bullish and bearish marketsHighlights how these strategies can easily be adopted for stocks, futures, bonds, and other vehiclesWorks with all timeframes and all tradable instruments

Filled with in-depth insights and expert advice, "Trading with Ichimoku Clouds" will help you implement a proven strategy designed to capture trends that maximize profits and minimize losses. Furthermore, the user will be taken step by step through the entire decision-making process of trading an instrument for two years (back test).

This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition. Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presents a technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods. This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.

The book is a collection of best selected research papers presented at 6th International Conference on Innovations in Electronics and Communication Engineering at Guru Nanak Institutions Hyderabad, India. The book presents works from researchers, technocrats and experts about latest technologies in electronic and communication engineering. The book covers various streams of communication engineering like signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. The authors have discussed the latest cutting edge technology and the volume will serve as a reference for young researchers.

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.

Found in all organisms, the alpha-keto acid dehydrogenase complexes have central roles in cellular metabolism and are major sites of regulation. The understanding of the organization, function and regulation of these quintessential multienzyme complexes has been greatly advanced by studies employing molecular biology and biophysical techniques. Although these enzyme systems have some features in common, their diversity in fulfilling unique organism - or tissue - specific roles is truly amazing. These systems have medical importance in areas ranging from defects in regulation (linked to diabetes, heart disease, obesity, nutrition defects), to inherited diseases (inborn errors, maple syrup urine disease) to acquired immune diseases (primary biliary cirrhosis). This book brings together wide-ranging recent findings on the structure(function relationships, gene regulation, and genetic defects of the alpha-keto acid dehydrogenase complexes, namely the pyruvate dehydrogenase, alpha-ketoglutarate dehydrogenase and the branched-chain alpha-keto acid dehydrogenase complexes. A wide variety of experimental approaches together with new results presented in this book should serve as a resource for beginning to established investigators in the field as well as scientists who are interested in mitochondria, dehydrogenases, kinases, phosphatases, lipoic acid, thiamine pyrophosphate, and enzyme complexes.

This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition. This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra.

Written in the twelfth century, the "Naisadhiyacarita" ( "The Adventures of Nala, King of Nisadha") is a seminal Sanskrit poem beloved by South Asian literary communities for nearly a millennium. This volume introduces readers to the poem's author, his reading communities, the modes through which the poem has been read and used, the contexts through which it became canonical, its literary offspring, and the emotional power it still holds for the culture that values it.

"Text to Tradition" privileges the intellectual, affective, and social forms of cultural practice that inform a region's people and institutions. It also proposes a new way to conduct literary historiography, understanding literary texts as "traditions" in their own right and emphasizing the various players and critical genres involved in their reception. The book underscores the importance of the close study of individual works to building a history of literary cultures. In addition, it creates a groundbreaking model for approaching the study of other venerated South Asian texts.

Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data. Getting Structured Data from the Internet also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas. What You Will Learn Understand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get data Develop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using Selenium Use AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pages Use SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemy Review sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors) Handle web archival file formats and explore Common Crawl open data on AWS Illustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.com Write scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and ranking Use web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signals Write a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and more Who This Book Is For Primary audience: data analysts and scientists with little to no exposure to real-world data processing challenges, secondary: experienced software developers doing web-heavy data processing who need a primer, tertiary: business owners and startup founders who need to know more about implementation to better direct their technical team

This comprehensive, yet user friendly, volume specifically focuses on cutaneous soft tissue tumors, one of the most challenging areas in dermatopathology. The text is richly illustrated and written in a user friendly fashion, by well-known experts in cutaneous soft tissue tumors, with an emphasis on a practical diagnostic approach. The text opens with a brief introduction on how to approach soft tissue tumors, followed by a guide to ancillary diagnostic tests and a thorough discussion of cutaneous soft tissue tumors and their non-mesenchymal mimics. The entities are described in terms of their clinical and pathologic features and differential diagnoses. Key pathologic features are summarized in a table format. Soft Tissue Tumors of the Skin will be of great value to surgical pathologists and dermatopathologists as well as residents and fellows in pathology and dermatology.

This new edition is a high-yield review that is an ideal study guide for the ENT in-service and board exams. While other review guides are low yield, this is quick, concise, and easy-to-use, providing everything you need to know in a easy to digest format. ENT Board Prep offers review on sections such as cancer, ear, sinus, plastics, sleep, and laryngology, as well as case studies useful for studying for the oral board exams. Written and edited by leaders in the field, this book aims to serve future residents and fellows in those crucial weeks leading up to the ENT board exam. The new edition includes fully updated sections, illustrations, and board review material. Specific updates include head and neck cancer staging and therapies, sleep apnea therapy advances, and virtual reality planning for skull base surgery. This is an ideal guide for ENT specialists, and specifically those studying for board exams.

Third Generation EGFR Inhibitors: Overcoming EGFR Resistance and Toxicity Problems reviews current issues relating to the design of reversible and irreversible third generation EGFR inhibitors, highlighting the types of mutation responsible for resistance, and providing different chemical starting points for researchers to optimize and develop in designing the next generation of drugs. Beginning with an introduction to EGFR inhibitors and a review of inhibitors currently approved or in clinical trials, the book goes on to discuss current approaches in the development of both covalent irreversible and covalent reversible EGFR Inhibitors. In addition, mechanisms of resistance to third generation inhibitors, and discovery of fourth generation allosteric C797S inhibitors are explored before a discussion of potential future trends. This comprehensive coverage of the design and development of improved analogues to overcome the problems of resistance and toxicity associated with third generation EGFR inhibitors makes Third Generation EGFR Inhibitors a crucial resource for medicinal chemists, drug developers, and researchers investigating cancer therapeutics.