Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 8881 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.A forthcoming companion volume will deal with practical aspects of pattern recognition and machine learning, and will include free software implementations of the key algorithms along with example data sets and demonstration programs.Christopher Bishop is Assistant Director at Microsoft Research Cambridge, and also holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, and was recently elected Fellow of the Royal Academy of Engineering. The author's previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.Coming soon:*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)*For instructors, worked solutions to remaining exercises from the Springer web site*Lecture slides to accompany each chapter*Data sets available for download
Описание: Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.
Автор: Jorge S. Marques; Nicol?s P?rez de la Blanca; Pedr Название: Pattern Recognition and Image Analysis ISBN: 3540261532 ISBN-13(EAN): 9783540261537 Издательство: Springer Рейтинг: Цена: 13584 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005, held in Estoril, Portugal in June 2005. This set features papers that are organized in topical sections on computer vision, shape and matching, image and video processing, image and video coding, face recognition, and, robotics.
Описание: The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2. Three new chapters, which are research results conducted during 21-28, are added. The book consists of three parts - the first presents a brief survey of the status of pattern recognition with wavelet theory; the second contains the basic theory of wavelet analysis; the third includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 17 references including the current state-of-the-art theory and applications of wavelet analysis to pattern recognition.
Описание: The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual.The other side of the biometrics coin is biometric synthesis - rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions.This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies - human identification by analysis of biometric data - is extended to include the new discipline of biometric synthesis.
Описание: Part I: Diaspora Overviews. African Diaspora in Asia; G. Campbell. African Diaspora in Europe; D. Gnammankou. African Diaspora in the Americas; K.A. Yelvington. Armenian Diaspora; K. TГ¶lГ¶lyan. British Diaspora; E. Richards. Chilean Diaspora; T.C. Wright, R. Onate. Chinese Diaspora; A. McKeown. Croatian Diaspora; D. Winland. Greek Diaspora; I. Laliotou. Hakka Diaspora; E. Lozada. Hmong Diaspora; N. Tapp. Hui Diaspora; R. Ma. Irish Diaspora; N. Farley, P. Kilbride. Israeli Diaspora; R. Cohen. Italian Diaspora; D.R. Gabaccia. Jewish Diaspora in China; Xin Xu. Jewish Diaspora in Europe and the Americas; M.J. Konner. Jewish Diaspora in the Ancient World, Africa, and Asia; M.J. Konner. Jewish Diaspora in the Greek World; S. Bowman. Korean Diaspora; In Jin Yoon. Kurdish Diaspora; A. Hassanpour, S. Mojab. Oceanian Diasporas; D.A. Chappell. Palestinian Diaspora; S. Farsoun. Philippine Diaspora; R. Lawless. Polish Diaspora; D. Pacyga. Post-Soviet Russian Diaspora; N. Kosmarskaya. Sikh Diaspora; D. Singh Tatla. South Asian Diaspora; P. Rangaswamy. Swiss Diaspora; L. Schelbert. Tuareg Diaspora; S. Rasmussen. Yoruba Diaspora; K. Abimbola. Part II: Topics. Arts in Diasporas:- Art of the African Diaspora; M. Harris. Chinese Diaspora Memoirs in the United States; King Fai Tam. Dance in the African Diaspora; Y. Daniel. Literature of Korean Diaspora in Japan; Choonmie Kim. Music of the African Diaspora in the Americas; D. Hill. South Asian Diaspora in Film; J. Desai. Women and Literature in the African Diaspora; C. Boyce Davies. Diaspora Politics and Identity:- Chinese Diaspora Politics and its Fallout in a Cyber Age; Aihwa Ong. Creating a Diaspora within a Country: Kurds in Turkey; C. Houston. Diasporas and Human Rights; P. Magnarella. Diasporas and International Agencies; M. Leopold. Diasporic Consciousness Among African-Americans; J. Glazier. Emerging Diaspora Consciousness Among African Canadians in Toronto; R. Walcott. Hindu Diaspora in the United States; A. Rajagopal. Jewish-American Identity and Israeli Security: Diasporic Connections; Y. Shain. Jews and Christians in Germany; H. Thomann Tewarson. Pakistani Migration and Diaspora Religious Politics in a Global Age; P. Werbner. Sikh Positionings in Australia and the "Diaspora" Concept; V.A. Dusenbery. Tamil Diaspora Politics; D. Sriskandarajah. Global Cities:- Global Cities and Diasporic Networks; S. Sassen. Hong Kong; J. Bosco. Jews in Kaifeng, China; Xin Xu. Miami Diasporas; L. Konczal. Types of Diaspora:- Asylum Diaspora: Tamils in Switzerland; C. McDowell. Chaordic Diasporas; P. Werbner. Congolese Traders: Unofficial Immigrants in France; J. MacGaffey. Diasporas and Globalization; D.M. Nonini. Long-Distance Nationalism; N. Glick Schiller. Refugee Diasporas; N. Van Hear. Part III: Diaspora Communities. African Diaspora in the Netherlands; A. Blakely. Brazilians in the United States, Canada, Europe, Japan and Paraguay; M. Margolis. Cape Verdeans in the United States; M. Halter. Caribbeans in the United Kingdom; C. Peach. Chinese in Australia; H. Chan. Chinese in Canada; J.-A. Lee, Xiaoping Li. Chinese in Europe; Minghuan Li. Chinese in Hungary; P. Nyíri. Chinese in India; E. Oxfeld. Chinese in Japan; L. Tien-shi. Chinese in Korea; Kwang-ok Kim. Chinese in Malaysia; Chee Beng Tan. Chinese in Papua New Guinea; D.Y.H. Wu. Chinese in Russia; A. Dikariov. Chinese in Singapore; Chee Kiong Tong. Chinese in South Africa; K. Leigh Harris. Chinese in Tahiti; Yuan-chao Tung. Chinese in Thailand; Jiemen Bao. Chinese in the Philippines; T. Ang See. Chinese in the United States; Ling-chi Wang. Eritreans in the Sudan; G. Kibreab. Ethnic Chinese in Indonesia; M.G.Tan. Filipinos in Japan; J. Anderson. Greeks in Canada; A.N. Panagakos. Haitians in the United States; M.S. Laguerre. Indians in Fiji; A.R Walker. Italians in Australia; L. Baldassar. Italians in Canada; J. Zucchi. Italians in the United Kingdom; L. Sponza. Italians in the United States; V. Pagliai. Jamaicans in the United States; M. Vickerman. Japanese in Brazil; N. Adachi. Japanese in the United States; W. Ng. Jews from Rhodes in Central and Southern Africa; R. Hirschon. Jews in Denmark; T. Lichtenstein. Jews in France; J. Bahloul. Jews in Latin America; A. Ben-Ur. Jews in Morocco; E. Gottreich. Koreans in Japan; S. Ryang. Koreans in Kazakhstan, Uzbekistan, and Russia; G. Kim. Koreans in the United States; Kyeyoung Park. Kurds in Finland; O. Wahlbeck. Kurds in Germany; B. Ammann. Latinos in Japan; R. Reyes-Ruiz. Mexicans in the United States; R. Van Kemper, W. Pulte. Neo-Orthodox Jews of Germany; S. Deshen. Nuer in the United States; D. Shandy. Puerto Ricans in the United States; J. Duany. Roma in the United States; A. Sutherland. Sikhs in Canada; H. Johnston. Sikhs in the United Kingdom; D. Singh Tatla. Sikhs in the United States; B. LaBrack. South Asians in Malaysia and Singapore; A.R. Walker. Tibetans in India; D. de Voe. Turks in Germany; W. Schiffauer. Vietnamese in Australia; M. Thomas. Vietnamese in Canada; L.-J. Dorais. Vietnamese in France; M.E. Blanc.
Описание: This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016. The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.
Описание: Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.
Автор: Sergios Theodoridis Название: Pattern Recognition, ISBN: 1597492728 ISBN-13(EAN): 9781597492720 Издательство: Elsevier Science Рейтинг: Цена: 9400 р. Наличие на складе: Невозможна поставка.
Описание: This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. . · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques. . · Many more diagrams included--now in two color--to provide greater insight through visual presentation. . . · Matlab code of the most common methods are given at the end of each chapter. . . . . . · More Matlab code is available, together with an accompanying manual, via this site . . . . · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. . · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).
Описание: This book delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science, medical imaging, or wherever the study of identification and classification of objects by electronics-driven image processing and pattern recognition is relevant. Object analysis first uses image processing to detect objects and extract their features, then identifies and classifies them by pattern recognition. Its manifold applications include recognition of objects in satellite images which enable discrimination between different objects, such as fishing boats, merchant ships or warships; machine spare parts e.g. screws, nuts etc. (engineering); detection of cancers, ulcers, tumours and so on (medicine); and recognition of soil particles of different types (agriculture or soil mechanics in civil engineering). Outlines the identification and classification of objects by electronics-driven image processing and pattern recognitionDiscusses object detection, shape, roundness and sharpness analysis, orientation analysis and arrangement analysisDelivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science and medical imaging
Автор: Wilson Название: Vein Pattern Recognition ISBN: 1439821372 ISBN-13(EAN): 9781439821374 Издательство: Taylor&Francis Рейтинг: Цена: 9122 р. Наличие на складе: Поставка под заказ.
Описание: Biometric technologies vary in capability, performance, and reliability. One of the most promising emerging technologies, vein pattern recognition (VPR) is more accurate than many other biometric methods, offers greater resistance to spoofing, and focuses on people. Exploring privacy issues and the general concept of personal identity, this book delves into real-world biometrics applications and discusses the emergence of this reliable but underutilized technology. The author, an industry veteran, presents the myriad applications of VPA technology and its current implementations — including its widespread use in the Japanese banking industry for accessing cardholder accounts.
Описание: Researchers are bringing information theory elements to the computer vision and pattern recognition (CVPR) arena. Among these elements there are measures (entropy, mutual information), principles (maximum entropy, minimax entropy) and theories (rate distortion theory, method of types). This book explores the latter elements.
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