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Multimodal Brain Image Analysis, Li Shen; Tianming Liu; Pew-Thian Yap; Heng Huang;


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Автор: Li Shen; Tianming Liu; Pew-Thian Yap; Heng Huang;
Название:  Multimodal Brain Image Analysis
ISBN: 9783319021256
Издательство: Springer
Классификация:





ISBN-10: 3319021257
Обложка/Формат: Paperback
Страницы: 260
Вес: 0.39 кг.
Дата издания: 21.08.2013
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Размер: 234 x 156 x 15
Основная тема: Computer Science
Подзаголовок: Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI.


Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction

Автор: Ronald B?ck; Francesca Bonin; Nick Campbell; Ronal
Название: Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction
ISBN: 3319155563 ISBN-13(EAN): 9783319155562
Издательство: Springer
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Цена: 5590.00 р.
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Описание:

Annotating the TCD D-ANS Corpus - A Multimodal Multimedia Monolingual Biometric Corpus of Spoken Social Interaction.- Steps Towards More Natural Human-Machine Interaction via Audio-Visual Word Prominence Detection.- Improving Robustness Against Environmental Sounds for Directing Attention of Social Robots.- On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction.- Modelling User Experience in Human-Robot Interactions.- Disposition Recognition from Spontaneous Speech Towards a Combination with Co-speech Gestures.- ASR Independent Hybrid Recurrent Neural Network Based Error Correction for Dialog System Applications.- Acquisition and Use of Long-Term Memory for Personalized Dialog Systems.- An Automatic Shout Detection System Using Speech Production Features.- Collecting Data for Automatic Speech Recognition Systems in Dialectal Arabic Using Games with a Purpose.- A Multimodal Multimedia Monolingual Biometric Corpus of Spoken Social Interaction.- Steps Towards More Natural Human-Machine Interaction via Audio-Visual Word Prominence Detection.- Improving Robustness Against Environmental Sounds for Directing Attention of Social Robots.- On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction.- Modelling User Experience in Human-Robot Interactions.-Disposition Recognition from Spontaneous Speech Towards a Combination with Co-speech Gestures.- ASR Independent Hybrid Recurrent Neural Network Based Error Correction for Dialog System Applications.- Acquisition and Use of Long-Term Memory for Personalized Dialog Systems.- An Automatic Shout Detection System Using Speech Production Features.- Collecting Data for Automatic Speech Recognition Systems in Dialectal Arabic Using Games with a Purpose.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Автор: M. Jorge Cardoso; Tal Arbel; Gustavo Carneiro; Tan
Название: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
ISBN: 3319675575 ISBN-13(EAN): 9783319675572
Издательство: Springer
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Цена: 9083.00 р.
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Описание:

This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Video Content Analysis Using Multimodal Information

Автор: Ying Li; C.C. Jay Kuo
Название: Video Content Analysis Using Multimodal Information
ISBN: 1441953655 ISBN-13(EAN): 9781441953650
Издательство: Springer
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Цена: 20677.00 р.
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Описание: With the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called "Multimedia Content Description Interface" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.

Multimodal Interaction in Image and Video Applications

Автор: Angel D. Sappa; Jordi Vitri?
Название: Multimodal Interaction in Image and Video Applications
ISBN: 3642439837 ISBN-13(EAN): 9783642439834
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book shows case studies of multimodal interactive technologies for both image and video applications. They cover a wide spectrum of applications, ranging from interactive handwriting transcriptions to human-robot interactions in real environments.

Multimodal Biometrics And Intelligent Image Processing For Security System

Автор: Gavrilova & Monwar
Название: Multimodal Biometrics And Intelligent Image Processing For Security System
ISBN: 1466636467 ISBN-13(EAN): 9781466636460
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Although it is a relatively new approach to biometric knowledge representation, multimodal biometric systems have emerged as an innovative alternative that aids in developing a more reliable and efficient security system. <br><br><em>Multimodal Biometrics and Intelligent Image Processing for Security Systems</em> provides an in-depth description of existing and fresh fusion approaches for multimodal biometric systems. Covering relevant topics affecting the security and intelligent industries, this reference will be useful for readers from both academia and industry in the areas of pattern recognition, security, and image processing domains.

Multimodal Interaction in Image and Video Applications

Автор: Angel D. Sappa; Jordi Vitri?
Название: Multimodal Interaction in Image and Video Applications
ISBN: 3642359310 ISBN-13(EAN): 9783642359316
Издательство: Springer
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Цена: 19591.00 р.
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Описание: This book shows case studies of multimodal interactive technologies for both image and video applications. They cover a wide spectrum of applications, ranging from interactive handwriting transcriptions to human-robot interactions in real environments.

Conflict and Multimodal Communication

Автор: Francesca D`Errico; Isabella Poggi; Alessandro Vin
Название: Conflict and Multimodal Communication
ISBN: 3319140809 ISBN-13(EAN): 9783319140803
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Conflict and Multimodal Communication

Multimodal Retrieval in the Medical Domain

Автор: Henning M?ller; Oscar Alfonso Jimenez del Toro; Al
Название: Multimodal Retrieval in the Medical Domain
ISBN: 3319244701 ISBN-13(EAN): 9783319244709
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015.

Advances in Multimodal Interfaces - ICMI 2000

Автор: Tieniu Tan; Yuanchun Shi; Wen Gao
Название: Advances in Multimodal Interfaces - ICMI 2000
ISBN: 3540411801 ISBN-13(EAN): 9783540411802
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The papers presented here are organized in topical sections on affective and perceptual computing gesture recognition, face and facial expression detection, recognition and synthesis, multilingual interfaces and natural language understanding.

Cooperative Multimodal Communication

Автор: Harry Bunt; Robbert-Jan Beun
Название: Cooperative Multimodal Communication
ISBN: 3540428062 ISBN-13(EAN): 9783540428060
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This work constitutes the refereed post-proceedings of the Second International Conference on Cooperative Multimodal Communication, 1998. It covers topical sections on multimodal generation, multimodal co-operation, multimodal interpretation, and multimedia platforms and test environments.

Multimodal Technologies for Perception of Humans

Автор: Rainer Stiefelhagen; Rachel Bowers; Jonathan Fiscu
Название: Multimodal Technologies for Perception of Humans
ISBN: 3540685847 ISBN-13(EAN): 9783540685845
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book constitutes the thoroughly refereed joint post-workshop proceedings of two co-located events: the Second International Workshop on Classification of Events, Activities and Relationships, CLEAR 2007, and the 5th Rich Transcription 2007 Meeting Recognition evaluation, RT 2007, held in succession in Baltimore, MD, USA, in May 2007.

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Автор: Friedhelm Schwenker; Stefan Scherer; Louis-Philipp
Название: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
ISBN: 3319148982 ISBN-13(EAN): 9783319148984
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014.


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