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Stochastic Emotion Recognition By Multiple Matrices & Classification

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Handling Emotions in Human-Computer Dialogues

adaptive semi-stochastic dialogue model and the basic concepts of speech-emotion recognition. Finally, the authors show how speech-emotion;

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Introduction to EEG- and Speech-Based Emotion Recognition

record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method;

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Real-Time Automatic Emotion Recognition from Speech

segmenation, feature extraction and classification algorithms. Results lead to the implementation of the Open Source online emotion recognition;

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Emotion Recognition

A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and;

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Structured Stochastic Matrices of M/G/1 Type and Their Applications

inherent in the classical analysis of a variety of stochastic models by methods of complex analysis.;

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Noncommutative Probability and Random Matrices at Saint Flour

Biane, Philippe: Non-commutative stochastic calculus.-Voiculescu, Dan-Virgil: Lectures on free probability.- Guionnet, Alice: Large random;

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Combinatorial Matrix Classes

a specified score sequence), nonnegative matrices with specified row and column sums, and doubly stochastic matrices. Most of this material;

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Robust Speaker Recognition in Noisy Environments

This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems;

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Fusion Methods for Time-Series Classification

Time-series classification is the common theoretical background of many recognition tasks performed by computers, such as handwriting;

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Advances in Face Detection and Facial Image Analysis

of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion;

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Advances in Face Detection and Facial Image Analysis

psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial;

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Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recogn

information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.;

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Low Rank and Sparse Modeling for Visual Analysis

multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data;

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Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems

recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the;

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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

, moment problems, random matrices and linear stochastic systems.;

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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

, moment problems, random matrices and linear stochastic systems.;

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Music Emotion Recognition

Providing a complete review of existing work in music emotion developed in psychology and engineering, Music Emotion Recognition explains;

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Data Complexity in Pattern Recognition

algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations;

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Data Complexity in Pattern Recognition

algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations;

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Group Inverses of M-Matrices and Their Applications

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes;

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Human Emotion Recognition from Face Images

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression;

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Human Emotion Recognition from Face Images

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression;

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Emotional Processing Deficits in Parkinson's Disease

cognition and autobiographical memory. Sixteen patients with PD and controls were tested on a range of emotion recognition measures including facial;

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Ubiquitous Technologies for Emotion Recognition

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Riemannian Computing in Computer Vision

motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices;

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Riemannian Computing in Computer Vision

motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices;

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