David Doermann's Books

Binary Neural Networks

Algorithms, Architectures, and Applications

By: Baochang Zhang,Sheng Xu,Mingbao Lin,Tiancheng Wang,David Doermann

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Binary Neural Networks

Algorithms, Architectures, and Applications

By: Baochang Zhang,Sheng Xu,Mingbao Lin,Tiancheng Wang,David Doermann

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218

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CRC Press

Published Date

ISBN 10

1003816797

ISBN 13

9781003816799

The Academic Revolution

By: Christopher Jencks

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The Academic Revolution describes the rise to power of professional scholars and scientists, first in America's leading universities and now in the larger society as well. Without attempting a full-scale history of American higher education, it outlines a theory about its development and present status. It is illustrated with firsthand observations of a wide variety of colleges and universities the country over-colleges for the rich and colleges for the upwardly mobile; colleges for vocationally oriented men and colleges for intellectually and socially oriented women; colleges for Catholics and colleges for Protestants; colleges for blacks and colleges for rebellious whites. The authors also look at some of the revolution's consequences. They see it as intensifying conflict between young and old, and provoking young people raised in permissive, middle-class homes to attacks on the legitimacy of adult authority. In the process, the revolution subtly transformed the kinds of work to which talented young people aspire, contributing to the decline of entrepreneurship and the rise of professionalism. They conclude that mass higher education, for all its advantages, has had no measurable effect on the rate of social mobility or the degree of equality in American society. Jencks and Riesman are not nostalgic; their description of the nineteenth-century liberal arts colleges is corrosively critical. They maintain that American students know more than ever before, that their teachers are more competent and stimulating than in earlier times, and that the American system of higher education has brought the American people to an unprecedented level of academic competence. But while they regard the academic revolution as having been an historically necessary and progressive step, they argue that, like all revolutions, it can devour its children. For Jencks and Riesman, academic professionalism is an advance over amateur gentility, but they warn of its dangers and limitations: the elitism and arrogance implicit in meritocracy, the myopia that derives from a strictly academic view of human experience and understanding, the complacency that comes from making technical competence an end rather than a means.

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969

Publisher

Routledge

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ISBN 10

1351486454

ISBN 13

9781351486453

Vision-based Pedestrian Protection Systems for Intelligent Vehicles

By: David Gerónimo,Antonio M. López

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Vision-based Pedestrian Protection Systems for Intelligent Vehicles

By: David Gerónimo,Antonio M. López

Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.

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118

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461479878

ISBN 13

9781461479871

Cybersecurity Analytics

By: Rakesh M. Verma,David J. Marchette

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Cybersecurity Analytics

By: Rakesh M. Verma,David J. Marchette

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.

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Page Count

434

Publisher

CRC Press

Published Date

ISBN 10

1000727890

ISBN 13

9781000727890

Too Funny for Words

A Contrarian History of American Screen Comedy from Silent Slapstick to Screwball

By: David Kalat

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Too Funny for Words

A Contrarian History of American Screen Comedy from Silent Slapstick to Screwball

By: David Kalat

American silent film comedies were dominated by sight gags, stunts and comic violence. With the advent of sound, comedies in the 1930s were a riot of runaway heiresses and fast-talking screwballs. It was more than a technological pivot--the first feature-length sound film, The Jazz Singer (1927), changed Hollywood. Lost in the discussion of that transition is the overlap between the two genres. Charlie Chaplin, Buster Keaton and Harold Lloyd kept slapstick alive well into the sound era. Screwball directors like Leo McCarey, Frank Capra and Ernst Lubitsch got their starts in silent comedy. From Chaplin's tramp to the witty repartee of His Girl Friday (1940), this book chronicles the rise of silent comedy and its evolution into screwball--two flavors of the same genre--through the works of Mack Sennett, Roscoe Arbuckle, Harry Langdon and others.

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Page Count

261

Publisher

McFarland

Published Date

ISBN 10

1476678561

ISBN 13

9781476678566

Information Retrieval

Algorithms and Heuristics

By: David A. Grossman,Ophir Frieder

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Information Retrieval

Algorithms and Heuristics

By: David A. Grossman,Ophir Frieder

Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.

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344

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1402030053

ISBN 13

9781402030055

Planning Models for Colleges and Universities

By: David S. Hopkins

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Planning Models for Colleges and Universities

By: David S. Hopkins

Drawing on the authors' extensive experience at Stanford University as well as the work of others, this first systematic approach to fiscal and human resource planning in colleges and universities shows how decision models can and should become an integral part of the planning process. The authors first discuss the uses and misuses of planning models in general and the principles and methodologies for developing such models. They then describe many specific models that have proved to be useful at Stanford and elsewhere in solving immediate problems and establishing long-term goals. These models cover such diverse programs as medium- and long-range financial forecasting; estimating resource requirements and the variable costs of programs; long-run financial equilibrium and the transition to equilibrium; faculty appointment, promotion, and retirement policies; predicting student enrollments; and applying value judgments to financial alternatives. The final chapter discusses the applicability of Stanford-based planning models to other schools.

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574

Publisher

Stanford University Press

Published Date

ISBN 10

0804766320

ISBN 13

9780804766326

On Higher Education

The Academic Enterprise in an Era of Rising Student Consumerism

By: David Riesman

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On Higher Education

The Academic Enterprise in an Era of Rising Student Consumerism

By: David Riesman

On Higher Education is about the consequences of the student revolt of the 1960's and the decline of faculty influence. This shift from emphasis on academic merit to student consumerism is one of two great reversals of direction in the history of American higher education. This is a book for those curious about our society and its institutions and for all who share a civic concern about the society's future.

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Page Count

480

Publisher

Transaction Publishers

ISBN 10

1412830087

ISBN 13

9781412830089

Overplayed

A Parent's Guide to Sanity in the World of Youth Sports

By: David King,Margot Starbuck

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Overplayed

A Parent's Guide to Sanity in the World of Youth Sports

By: David King,Margot Starbuck

As seen in Focus on the Family magazine. Should I sign up our seven-year-old son for the travel team? What should we do about our daughter's Sunday morning games? Am I the only one longing for a sane balance between children’s sports, family time, and church commitments? David King and Margot Starbuck offer good news for Christian parents stressed out by these questions and stretched thin by the demands of competitive youth sports. Join King, athletic director at a Christian university, and Starbuck, an award-winning author and speaker, as they investigate seven myths about what’s best for young athletes. Discover with them what it means to not be conformed to the patterns of the youth sports world. Listen in as they talk to other parents, pastors, and coaches about the peril and promise of children’s sports. Learn practical ways to set boundaries and help kids gain healthy identities as beloved children of God--both on and off the field, and whether they win or lose. Equips parents with concrete tips such as: Eight questions to discuss on the way home from the game Five ways to ruin your child’s sports experience Dinnertime conversation starters about your family’s values The one question you can't not ask your child about youth sports Key Features: Challenges seven common myths about youth sports Offers wisdom for families on decisions such as choosing leagues and how many seasons to play Author Q&As address parents' common concerns about youth sports Bonus tips and resources for parents, coaches, and pastors Free downloadable study guide available here.

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Page Count

194

Publisher

MennoMedia, Inc.

Published Date

ISBN 10

0836199731

ISBN 13

9780836199734

Binary Neural Networks

Algorithms, Architectures, and Applications

By: Baochang Zhang,Sheng Xu,Mingbao Lin,Tiancheng Wang,David Doermann

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Binary Neural Networks

Algorithms, Architectures, and Applications

By: Baochang Zhang,Sheng Xu,Mingbao Lin,Tiancheng Wang,David Doermann

Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floatingpoint operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional neural networks (CNNs) being developed for mobile and embedded devices. In this context, Binary Neural Networks: Algorithms, Architectures, and Applications will focus on CNN compression and acceleration, which are important for the research community. We will describe numerous methods, including parameter quantization, network pruning, low-rank decomposition, and knowledge distillation. More recently, to reduce the burden of handcrafted architecture design, neural architecture search (NAS) has been used to automatically build neural networks by searching over a vast architecture space. Our book will also introduce NAS and binary NAS and its superiority and state-of-the-art performance in various applications, such as image classification and object detection. We also describe extensive applications of compressed deep models on image classification, speech recognition, object detection, and tracking. These topics can help researchers better understand the usefulness and the potential of network compression on practical applications. Moreover, interested readers should have basic knowledge of machine learning and deep learning to better understand the methods described in this book. Key Features • Reviews recent advances in CNN compression and acceleration • Elaborates recent advances on binary neural network (BNN) technologies • Introduces applications of BNN in image classification, speech recognition, object detection, and more Baochang Zhang is a full professor with the Institute of Artificial Intelligence, Beihang University, Beijing, China. He was selected by the Program for New Century Excellent Talents in the University of Ministry of Education of China, chosen as the Academic Advisor of the Deep Learning Lab of Baidu Inc., and was honored as a Distinguished Researcher of Beihang Hangzhou Institute in Zhejiang Province. His research interests include explainable deep learning, computer vision, and pattern recognition. His HGPP and LDP methods were state-of-the-art feature descriptors, with 1234 and 768 Google Scholar citations, respectively, and both “Test-of-Time” works. His team’s 1-bit methods achieved the best performance on ImageNet. His group also won the ECCV 2020 Tiny Object Detection, COCO Object Detection, and ICPR 2020 Pollen recognition challenges. Sheng Xu received a BE in automotive engineering from Beihang University, Beijing, China. He has a PhD and is currently at the School of Automation Science and Electrical Engineering, Beihang University, specializing in computer vision, model quantization, and compression. He has made significant contributions to the field and has published about a dozen papers as the first author in top-tier conferences and journals such as CVPR, ECCV, NeurIPS, AAAI, BMVC, IJCV, and ACM TOMM. Notably, he has 4 papers selected as oral or highlighted presentations by these prestigious conferences. Furthermore, Dr. Xu actively participates in the academic community as a reviewer for various international journals and conferences, including CVPR, ICCV, ECCV, NeurIPS, ICML, and IEEE TCSVT. His expertise has also led to his group’s victory in the ECCV 2020 Tiny Object Detection Challenge. Mingbao Lin finished his MS-PhD study and obtained a PhD in intelligence science and technology from Xiamen University, Xiamen, China in 2022. In 2016, he received a BS from Fuzhou University, Fuzhou, China. He is currently a senior researcher with the Tencent Youtu Lab, Shanghai, China. His publications on top-tier conferences/journals include: IEEE TPAMI, IJCV, IEEE TIP, IEEE TNNLS, CVPR, NeurIPS, AAAI, IJCAI, ACM MM, and more. His current research interests include developing an efficient vision model, as well as information retrieval. Tiancheng Wang received a BE in automation from Beihang University, Beijing, China. He is currently pursuing a PhD with the Institute of Artificial Intelligence, Beihang University. During his undergraduate studies, he was given the Merit Student Award for several consecutive years, and has received various scholarships including academic excellence and academic competitions scholarships. He was involved in several AI projects including behavior detection and intention understanding research and unmanned air-based vision platform, and more. Now his current research interests include deep learning and network compression; his goal is to explore a high energy-saving model and drive the deployment of neural networks in embedded devices. Dr. David Doermann is a professor of empire innovation at the University at Buffalo (UB), New York, US, and the director of the University at Buffalo Artificial Intelligence Institute. Prior to coming to UB, he was a program manager at the Defense Advanced Research Projects Agency (DARPA) where he developed, selected, and oversaw approximately $150 million in research and transition funding in the areas of computer vision, human language technologies, and voice analytics. He coordinated performers on all projects, orchestrating consensus, evaluating cross team management, and overseeing fluid program objectives.

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Page Count

393

Publisher

CRC Press

Published Date

ISBN 10

1003816851

ISBN 13

9781003816850

Book's by David Doermann

Binary Neural Networks

Binary Neural Networks

The Academic Revolution

The Academic Revolution

Vision-based Pedestrian Protection Systems for Intelligent Vehicles

Vision-based Pedestrian Protection Systems for Intelligent Vehicles

Cybersecurity Analytics

Cybersecurity Analytics

Too Funny for Words

Too Funny for Words

Information Retrieval

Information Retrieval

Planning Models for Colleges and Universities

Planning Models for Colleges and Universities

On Higher Education

On Higher Education

Overplayed

Overplayed

Binary Neural Networks

Binary Neural Networks

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