Download or read book Reliable Face Recognition Methods written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.

Download or read book Bring Your Whole Self To Work written by Mike Robbins and published by Hay House, Inc. This book was released on 2018-05-01 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s work environment, the lines between our professional and personal lives are blurred more than ever before. Whatever is happening to us outside of our workplace—whether stressful, painful, or joyful—follows us into work as well. We may think we have to keep these realities under wraps and act as if we “have it all together.” But as Mike Robbins explains, we can work better, lead better, and be more engaged and fulfilled if—instead of trying to hide who we are—we show up fully and authentically. Mike, a sought-after motivational speaker and business consultant, has spent more than 15 years researching, writing, and speaking about essential human experiences and high performance in the workplace. His clients have ranged from Google to Citibank, from the U.S. Department of Labor to the San Francisco Giants. From small start-ups in Silicon Valley to family-owned businesses in the Midwest. From what he’s seen and studied over the years, Mike believes that for us to thrive professionally, we must be willing to bring our whole selves to the work that we do. Bringing our whole selves to work means acknowledging that we’re all vulnerable, imperfect human beings doing the best we can. It means having the courage to take risks, speak up, have compassion, ask for help, connect with others in a genuine way, and allow ourselves to be truly seen. In this book, Mike outlines five principles we can use to approach our own work in this spirit of openness and humanity, and to help the people we work with feel safe enough to do the same, so that the teams and organizations we’re a part of can truly succeed. “This book will offer you insights, ideas, and tools to inspire you to bring all of who you are to the work that you do—regardless of where you work, what kind of work you do, and with whom you do it. And, if you’re an owner, leader, or just someone who wants to have influence on those around you—this book will also give you specific techniques for how to build or enhance your team’s culture in such a way that encourages others to bring all of who they are to work.”

Download or read book Strategic Reward and Recognition written by John G Fisher and published by Kogan Page Publishers. This book was released on 2015-06-03 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-monetary incentives and recognition programmes are an area of employee motivation that is often overlooked. Yet, as Fisher's book reveals, a strategic focus on non-cash rewards can generate significant return on investment in terms of employee engagement, performance improvement and financial results. In the present economic context, with companies pushing to deliver more for less, it is a particularly pertinent issue. Strategic Reward and Recognition brings together theory and practice to guide HR professionals, consultants and senior leaders in developing the most effective programmes for their organizations. It features examples of good practice from all over the world, from different sectors and from both large and small organizations, providing coverage of digital as well as in-person schemes.

Download or read book Pattern Recognition written by J.P. Marques de Sá and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.

Download or read book Statistical Methods for Speech Recognition written by Frederick Jelinek and published by MIT Press. This book was released on 2022-11-01 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques. Bradford Books imprint

Download or read book O Great One written by David Novak and published by Penguin. This book was released on 2016-05-10 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rather than explain the power of recognition in a typical business book, acclaimed CEO David Novak wrote a fun story that draws on his real-world experiences at Pepsi and Yum! Brands, as well as his personal life. When was the last time you told your colleagues how much you value them? It sounds like a trivial thing in the middle of a busy work day. But as Novak discovered during his years as a hard charging executive, there’s nothing trivial about recognition. It can make a life-or-death difference to any organization, when people see that someone important really notices and appreciates their contributions. The story of O Great One! opens when Jeff Johnson becomes the third-generation CEO of his family business, after the sudden death of his father. The Happy Face Toy Company had many hits in the 1950s and 60s, including Crazy Paste, but its results have been declining for more than a decade. The board has given Jeff just one year to turn the business around, or else they’ll have to sell it to the highest bidder. As Jeff races to save his family’s legacy by getting the company back on track, he meets downtrodden factory workers and an uninspired executive team. Then a birthday gift from his grandson gives Jeff an important insight into why Happy Face lost its culture of innovation and excitement, along with its profitability. He comes up with an idea that seems crazy… But is it crazy enough to work? Whether you’re trying to lead a small department, a Fortune 500 company, a non-profit, or your own family, the story and lessons of O Great One! can help you make everyone around you happier and more effective.

Download or read book Make Their Day written by Cindy Ventrice and published by Berrett-Koehler Publishers. This book was released on 2003 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from the employees' viewpoint, this book explains why good working relationships form the core of effective workplace recognition.

Download or read book Matrix Methods in Data Mining and Pattern Recognition written by Lars Elden and published by SIAM. This book was released on 2007-07-12 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application.Matrix Methods in Data Mining and Pattern Recognition is divided into three parts. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB®. Some mathematical proofs that emphasize the existence and properties of the matrix decompositions are included. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed by the author are: classification of handwritten digits, text mining, text summarization, pagerank computations related to the GoogleÔ search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.Audience The book is intended for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful.Contents Preface; Part I: Linear Algebra Concepts and Matrix Decompositions. Chapter 1: Vectors and Matrices in Data Mining and Pattern Recognition; Chapter 2: Vectors and Matrices; Chapter 3: Linear Systems and Least Squares; Chapter 4: Orthogonality; Chapter 5: QR Decomposition; Chapter 6: Singular Value Decomposition; Chapter 7: Reduced-Rank Least Squares Models; Chapter 8: Tensor Decomposition; Chapter 9: Clustering and Nonnegative Matrix Factorization; Part II: Data Mining Applications. Chapter 10: Classification of Handwritten Digits; Chapter 11: Text Mining; Chapter 12: Page Ranking for a Web Search Engine; Chapter 13: Automatic Key Word and Key Sentence Extraction; Chapter 14: Face Recognition Using Tensor SVD. Part III: Computing the Matrix Decompositions. Chapter 15: Computing Eigenvalues and Singular Values; Bibliography; Index.

Download or read book Hybrid Methods In Pattern Recognition written by Horst Bunke and published by World Scientific. This book was released on 2002-05-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system.Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and others. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.

Download or read book Automatic Speech and Speaker Recognition written by Joseph Keshet and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.

Download or read book Chiral Recognition in Separation Methods written by Alain Berthod and published by Springer Science & Business Media. This book was released on 2010-06-16 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: What drives a scientist to edit a book on a speci c scienti c subject such as chiral mechanisms in separation methods? Until December 2005, the journal Analytical Chemistry of the American Chemical Society (Washington, DC) had an A-page section that was dedicated to simple and clear presentations of the most recent te- niques or the state of the art in a particular eld or topic. The “A-page” section was prepared for a broad audience of chemists including industrial professionals, s- dents as well as academics looking for information outside their eld of expertise. 1 Daniel W. Armstrong, one of the editors of this journal and a twenty-year+ long friend, invited me to present my view on chiral recognition mechanisms in a simple and clear way in an “A-page” article. In 2006, the “A-page” section was maintained as the rst articles at the beginning of each rst bi-monthly issue but the pagination was no longer page distinguished from the regular research articles published by the journal. During the time between the invitation and the submission, the A-page section was integrated into the rest of the journal and the article appeared as (2006) Anal Chem (78):2093–2099.

Download or read book Neuro Fuzzy Pattern Recognition written by Sankar K. Pal and published by Wiley-Interscience. This book was released on 1999 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The neuro-fuzzy approach to pattern recognition-a unique overview Recent years have seen a surge of interest in neuro-fuzzy computing, which combines fuzzy logic, neural networks, and soft computing techniques. This book focuses on the application of this new tool to the rapidly evolving area of pattern recognition. Written by two leaders in neural networks and soft computing research, this landmark work presents a unified, comprehensive treatment of the state of the art in the field. The authors consolidate a wealth of information previously cattered in disparate articles, journals, and edited volumes, explaining both the theory of neuro-fuzzy computing and the latest methodologies for performing different pattern recognition tasks in the neuro-fuzzy network-classification, feature evaluation, rule generation, knowledge extraction, and hybridization. Special emphasis is given to the integration of neuro-fuzzy methods with rough sets and genetic algorithms (GAs) to ensure more efficient recognition systems. Clear, concise, and fully referenced, Neuro-Fuzzy Pattern Recognition features extensive examples and highlights key applications in speech, machine learning, medicine, and forensic science. It is an extremely useful resource for scientists and engineers in laboratories and industry as well as for anyone seeking up-to-date information on the advantages of neuro-fuzzy pattern recognition in new computer technologies.

Download or read book Advantages and Pitfalls of Pattern Recognition written by Horst Langer and published by Elsevier. This book was released on 2019-11-23 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application. Offers real-world examples of techniques for pattern recognition and handling multivariate data Includes examples, applications, and diagrams to enhance understanding Provides an introduction and access to relevant software packages

Download or read book Pattern Recognition Applications and Methods written by Maria De Marsico and published by Springer Nature. This book was released on 2020-01-24 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from 138 initial submissions. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Download or read book The Invisible Employee written by Adrian Gostick and published by John Wiley & Sons. This book was released on 2006-03-24 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: "There is magic in this book. It is the magic of a form of human engagement that allows you to see and your employees to be seen. Whether you are looking for a few good tips to keep a good thing going or need to recapture the very essence of a productive workplace, The Invisible Employee provides valuable lessons nestled among the pages of a clever and compelling story. A good read and a wise thesis." —Stephen C. Lundin, bestselling coauthor of Fish! "Gostick and Elton's simple-to-understand and teachable approach of setting and supporting core values and recognizing and celebrating those behaviors can be a very effective management technique for creating a committed and engaged workforce of 'visible employees.' This is a culture no organization can afford to be without." —Michael R. Losey, past president and CEO, Society for Human Resource Management, and Secretary General, World Federation of Personnel Management Associations "The basic principles detailed in The Invisible Employee are simple yet profound: (1) setting a guiding vision, (2) seeing employees supporting that vision, and (3) praising and celebrating that behavior. Restaurants do not sell merchandise that people can take home, we only sell memories. Engaging our entire staff by using these principles helps Friendly's provide great memories for our guests." —John L. Cutter, CEO and President, Friendly Ice Cream Corporation "The Invisible Employee is a very inventive and original book. Combining facts that will surprise you and a fable that will fascinate you, Adrian Gostick and Chester Elton have crafted a book that educates and entertains. The Invisible Employee is a wonderful read with a powerful message, and I highly recommend it to leaders at all levels." —Jim Kouzes, coauthor of The Leadership Challenge

Download or read book Character Recognition Systems written by Mohamed Cheriet and published by John Wiley & Sons. This book was released on 2007-11-27 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners." -Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York "The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area." -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way. This book covers: * Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR) * The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons * Evaluating extracted features, both structural and statistical * Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods * An overview of word and string recognition methods and techniques * Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.

Download or read book Pattern Recognition written by I. T. Turbovich and published by . This book was released on 1970 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recognition of sonic and visual patterns is discussed. Special attention is devoted to the algorithmization of processes for creating signs and arriving at solutions. Also examined are the principles of constructing algorithm-recognition machines, methods of processing descriptions, the evaluation of similarities, and other problems connected with theory and experimentation of pattern recognition. There is a bibliography of 180 titles.