Multimodal Machine Learning

Written By Santosh Kumar
Multimodal Machine Learning
  • Publsiher : Academic Press
  • Release : 15 May 2021
  • ISBN : 9780128237373
  • Pages : 375 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Multimodal Machine Learning written by Santosh Kumar which was release on 15 May 2021, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Multimodal Machine Learning: Techniques and Applications explains recent advances in multimodal machine learning, providing a coherent set of fundamentals for designing efficient multimodal learning algorithms for different applications. The book addresses the main challenges in multimodal machine learning based computing paradigms, including multimodal representation learning, translation and mapping, modality alignment, multimodal fusion and co-learning. The book also explores the important texture feature descriptors based on recognition and transform techniques. It is ideal for senior undergraduates, graduate students, and researchers in data science, engineering, computer science and statistics. Presents new representation, classification and identification algorithms for data prediction and analysis on feature characteristics Discusses recent and future advancements in diversified fields of computer vision , pattern recognition, generative adversarial network-based learning, video analytics and data science Provides an overview of future research challenges and directions

Multimodal Machine Learning

Multimodal Machine Learning
  • Author : Santosh Kumar,Sanjay Kumar Singh
  • Publisher : Academic Press
  • Release Date : 2021-05-15
  • Total pages : 375
  • ISBN : 9780128237373
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Summary : Multimodal Machine Learning: Techniques and Applications explains recent advances in multimodal machine learning, providing a coherent set of fundamentals for designing efficient multimodal learning algorithms for different applications. The book addresses the main challenges in multimodal machine learning based computing paradigms, including multimodal representation learning, translation and mapping, modality alignment, ...

Multimodal Machine Learning for Intelligent Mobility

Multimodal Machine Learning for Intelligent Mobility
  • Author : Jamie Roche
  • Publisher : Unknown
  • Release Date : 2020
  • Total pages : 212
  • ISBN : 9780128237373
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Summary : Download or read online Multimodal Machine Learning for Intelligent Mobility written by Jamie Roche, published by which was released on 2020. Get Multimodal Machine Learning for Intelligent Mobility Books now! Available in PDF, ePub and Kindle....

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
  • Author : Samy Bengio,Hervé Bourlard
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-01-31
  • Total pages : 362
  • ISBN : 9780128237373
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Summary : This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004, held in Martigny, Switzerland in June 2004. The 30 revised full papers presented were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on HCI and ...

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
  • Author : Andrei Popescu-Belis,Rainer Stiefelhagen
  • Publisher : Springer
  • Release Date : 2008-09-20
  • Total pages : 364
  • ISBN : 9780128237373
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Summary : This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/...

Machine Learning Systems for Multimodal Affect Recognition

Machine Learning Systems for Multimodal Affect Recognition
  • Author : Markus Kächele
  • Publisher : Springer Nature
  • Release Date : 2019-11-19
  • Total pages : 188
  • ISBN : 9780128237373
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Summary : Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous ...

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Deep Neural Networks for Multimodal Imaging and Biomedical Applications
  • Author : Suresh, Annamalai,Udendhran, R.,Vimal, S.
  • Publisher : IGI Global
  • Release Date : 2020-06-26
  • Total pages : 294
  • ISBN : 9780128237373
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Summary : The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a ...

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
  • Author : Steve Renals,Samy Bengio,Jonathan Fiskus
  • Publisher : Springer
  • Release Date : 2007-01-23
  • Total pages : 470
  • ISBN : 9780128237373
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Summary : This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006. The papers are organized in topical sections on multimodal processing, image and video processing, HCI and applications, discourse and dialogue, speech and audio processing, ...

Multimodal Scene Understanding

Multimodal Scene Understanding
  • Author : Michael Ying Yang,Bodo Rosenhahn,Vittorio Murino
  • Publisher : Academic Press
  • Release Date : 2019-07-16
  • Total pages : 422
  • ISBN : 9780128237373
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Summary : Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The ...

Multi modal Data Fusion based on Embeddings

Multi modal Data Fusion based on Embeddings
  • Author : S. Thoma
  • Publisher : IOS Press
  • Release Date : 2019-11-06
  • Total pages : 172
  • ISBN : 9780128237373
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Summary : Many web pages include structured data in the form of semantic markup, which can be transferred to the Resource Description Framework (RDF) or provide an interface to retrieve RDF data directly. This RDF data enables machines to automatically process and use the data. When applications need data from more than ...

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
  • Author : Kenji Suzuki,Mauricio Reyes,Tanveer Syeda-Mahmood,Ender Konukoglu,Ben Glocker,Roland Wiest,Yaniv Gur,Hayit Greenspan,Anant Madabhushi
  • Publisher : Springer Nature
  • Release Date : 2019-10-24
  • Total pages : 93
  • ISBN : 9780128237373
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Summary : This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, ...

Machine Learning

Machine Learning
  • Author : Andrea Mechelli,Sandra Vieira
  • Publisher : Academic Press
  • Release Date : 2019-11-14
  • Total pages : 408
  • ISBN : 9780128237373
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Summary : Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools ...

Challenges and Trends in Multimodal Fall Detection for Healthcare

Challenges and Trends in Multimodal Fall Detection for Healthcare
  • Author : Hiram Ponce,Lourdes Martínez-Villaseñor,Jorge Brieva,Ernesto Moya-Albor
  • Publisher : Springer Nature
  • Release Date : 2020-01-28
  • Total pages : 259
  • ISBN : 9780128237373
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Summary : This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. ...

Epileptic Seizure Detection Using Multimodal Sensor Data and Machine Learning

Epileptic Seizure Detection Using Multimodal Sensor Data and Machine Learning
  • Author : Alexandra P. Hamlin
  • Publisher : Unknown
  • Release Date : 2019
  • Total pages : 342
  • ISBN : 9780128237373
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Summary : Over 65 million people worldwide suffer from epilepsy, and one third of these people have refractory epilepsy, which means typical epilepsy medications have not worked for them. Many patients who suffer from epilepsy are unaware of their seizures, yet doctors rely on reports by patients and families to assess the effectiveness ...

Novel Symbolic and Machine learning Approaches for Text based and Multimodal Sentiment Analysis

Novel Symbolic and Machine learning Approaches for Text based and Multimodal Sentiment Analysis
  • Author : Soujanya Poria
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 212
  • ISBN : 9780128237373
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Summary : Download or read online Novel Symbolic and Machine learning Approaches for Text based and Multimodal Sentiment Analysis written by Soujanya Poria, published by which was released on 2017. Get Novel Symbolic and Machine learning Approaches for Text based and Multimodal Sentiment Analysis Books now! Available in PDF, ePub and Kindle....

Proceedings of the 7th Annual GIFT Users Symposium

Proceedings of the 7th Annual GIFT Users Symposium
  • Author : Benjamin S. Goldberg
  • Publisher : U.S. Army Combat Capabilities Development Command – Soldier Center
  • Release Date : 2019-05-17
  • Total pages : 212
  • ISBN : 9780128237373
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Summary : These proceedings are intended to document the evolutions of GIFT as a tool for the authoring of intelligent tutoring systems (ITSs) and the evaluation of adaptive instructional tools and methods. Papers in this volume were selected with the following goals in mind: (1) The candidate papers describe tools and methods that ...