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
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Цена: 66520.00 T
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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
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Цена: 79190.00 T
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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.

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
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Цена: 139750.00 T
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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.

Автор: Ming-Hsuan Yang; Narendra Ahuja
Название: Face Detection and Gesture Recognition for Human-Computer Interaction
ISBN: 146135546X ISBN-13(EAN): 9781461355465
Издательство: Springer
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Цена: 93160.00 T
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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
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Цена: 112290.00 T
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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: K. Sreenivasa Rao; Shashidhar G. Koolagudi
Название: Robust Emotion Recognition using Spectral and Prosodic Features
ISBN: 1461463599 ISBN-13(EAN): 9781461463597
Издательство: Springer
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Цена: 60940.00 T
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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: Jacek Grekow
Название: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
ISBN: 331970608X ISBN-13(EAN): 9783319706085
Издательство: Springer
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Цена: 111790.00 T
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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.

Автор: Koteswara Rao Anne; Swarna Kuchibhotla; Hima Deept
Название: Acoustic Modeling for Emotion Recognition
ISBN: 3319155296 ISBN-13(EAN): 9783319155296
Издательство: Springer
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Цена: 60940.00 T
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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.

Автор: Jacek Grekow
Название: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
ISBN: 3319889680 ISBN-13(EAN): 9783319889689
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Поставка под заказ.
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: Shalev-Shwartz
Название: Understanding Machine Learning
ISBN: 1107057132 ISBN-13(EAN): 9781107057135
Издательство: Cambridge Academ
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Цена: 74630.00 T
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Описание: Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the `hows` and `whys` of machine-learning algorithms, making the field accessible to both students and practitioners.

Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar
Название: Registration and Recognition in Images and Videos
ISBN: 3662521830 ISBN-13(EAN): 9783662521830
Издательство: Springer
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Цена: 121890.00 T
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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.

Автор: Paola Casti, Arianna Mencattini, Marcello Salmeri, Rangaraj M. Rangayyan
Название: Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer
ISBN: 1681731568 ISBN-13(EAN): 9781681731568
Издательство: Mare Nostrum (Eurospan)
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Цена: 61910.00 T
Наличие на складе: Невозможна поставка.
Описание: The identification and interpretation of the signs of breast cancer in mammographic images from screening programs can be very difficult due to the subtle and diversified appearance of breast disease. This book presents new image processing and pattern recognition techniques for computer-aided detection and diagnosis of breast cancer in its various forms.