Human Emotion Recognition from Face Images, Asit Barman.; Paramartha Dutta
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Описание: Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation.
In the age of e-society, handwritten signature processing is an enabling technology in a multitude of fields in the "digital agenda" of many countries, ranging from e-health to e-commerce, from e-government to e-justice, from e-democracy to e-banking, and smart cities. Handwritten signatures are very complex signs; they are the result of an elaborate process that depends on the psychophysical state of the signer and the conditions under which the signature apposition process occurs. Notwithstanding, recent efforts from academies and industries now make possible the integration of signature-based technologies into other standard equipment to form complete solutions that are able to support the security requirements of today's society.
Advances in Digital Handwritten Signature Processing primarily provides an update on the most fascinating and valuable researches in the multifaceted field of handwritten signature analysis and processing. The chapters within also introduce and discuss critical aspects and precious opportunities related to the use of this technology, as well as highlight fundamental theoretical and applicative aspects of the field.
This book contains papers by well-recognized and active researchers and scientists, as well as by engineers and commercial managers working for large international companies in the field of signature-based systems for a wide range of applications and for the development of e-society.
This publication is devoted to both researchers and experts active in the field of biometrics and handwriting forensics, as well as professionals involved in the development of signature-based solutions for advanced applications in medicine, finance, commerce, banking, public and private administrations, etc. Handwritten Signature Processing may also be used as an advanced textbook by graduate students.
Автор: Okechukwu A. Uwechue; Abhijit S. Pandya Название: Human Face Recognition Using Third-Order Synthetic Neural Networks ISBN: 1461368324 ISBN-13(EAN): 9781461368328 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns.
Описание: Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Computer graphics, image processing, and video databases have obvious overlap with computer vision.
Автор: De Marsico, Maria Название: Human Recognition in Unconstrained Environments ISBN: 0081007051 ISBN-13(EAN): 9780081007051 Издательство: Elsevier Science Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In Beyond Valor lies the truth. In the city known as Etin, people come to be at peace and make an honest living under the queen`s rule. At the edge of this city, in a tavern deep in the forest, the queen sets an appointment with one of her loyalists: Bandit Shadow, known to many for his skills in battle. His name comes hard earned, even stolen from some of his victims. This meeting produces two more knights, Exo and Strawberry, and together they hunt for the elusive Templars to help restore the kingdom to its former glory. But this journey to find the most elite of knights is anything but smooth sailing. Betrayal, love, and other obstacles must be overcome on their way to the palace of the king. Many do not want the Templars resurrected, but these brave knights would give their all, if needed, to be of service to their queen.
Автор: Liming Chen and Chris D. Nugent Название: Human Activity Recognition and Behaviour Analysis ISBN: 3030194078 ISBN-13(EAN): 9783030194079 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Поставка под заказ.
Описание: It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few.
Автор: K. Sreenivasa Rao; Shashidhar G. Koolagudi Название: Robust Emotion Recognition using Spectral and Prosodic Features ISBN: 1461463599 ISBN-13(EAN): 9781461463597 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.
Автор: Koteswara Rao Anne; Swarna Kuchibhotla; Hima Deept Название: Acoustic Modeling for Emotion Recognition ISBN: 3319155296 ISBN-13(EAN): 9783319155296 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents state of art research in speech emotion recognition. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.
Описание: The problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.
Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar Название: Registration and Recognition in Images and Videos ISBN: 3642449069 ISBN-13(EAN): 9783642449062 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains a selection of articles covering key talks and tutorials held during the International Computer Vision Summer School - ICVSS. It details both theoretical and practical aspects of real computer vision problems.
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