Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction [electronic resource] : 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers / edited by Friedhelm Schwenker, Stefan Scherer.

Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: Lecture Notes in Artificial Intelligence ; 10183Публікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: VIII, 161 p. 61 illus. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783319592596
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 006.3 23
Класифікація Бібліотеки Конгресу:
  • Q334-342
Електронне місцезнаходження та доступ:
Вміст:
Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units.
У: Springer eBooksЗведення: This book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.
Тип одиниці: ЕКнига Списки з цим бібзаписом: Springer Ebooks (till 2020 - Open Access)+(2017 Network Access)) | Springer Ebooks (2017 Network Access))
Мітки з цієї бібліотеки: Немає міток з цієї бібліотеки для цієї назви. Ввійдіть, щоб додавати мітки.
Оцінки зірочками
    Середня оцінка: 0.0 (0 голос.)
Немає реальних примірників для цього запису

Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units.

This book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.

Available to subscribing member institutions only. Доступно лише організаціям членам підписки.

Online access from local network of NaUOA.

Online access with authorization at https://link.springer.com/

Онлайн-доступ з локальної мережі НаУОА.

Онлайн доступ з авторизацією на https://link.springer.com/

Немає коментарів для цієї одиниці.

для можливості публікувати коментарі.
Попереднє
Результати
Наступне
Закрити