MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Driver Confusion Status Detection Using Recurrent Neural Networks Hori, C.; Watanabe, S.; Hori, T.; Harsham, B.A.; Hershey, J.R.; Koji, Y.; Fujii, Y.; Furumot

Source URL: www.merl.com

• Artificial neural networks
• Computational neuroscience
• Recurrent neural network
• Long short-term memory
• Sepp Hochreiter
• Artificial intelligence
• Statistical classification
• Convolutional neural network
• Multimodal interaction
• Deep learning

Searching for Good and Diverse Game Levels Mike Preuss Antonios Liapis Julian Togelius

Source URL: antoniosliapis.com

• Mathematical optimization
• Cybernetics
• Genetic algorithm
• Multi-objective optimization
• Evolutionary multimodal optimization
• Evolutionary computation
• Global optimization
• Cluster analysis
• Machine learning
• Evolutionary algorithm
• Search algorithm
• Algorithm

The 20th International Conference on Auditory Display (ICADJune 22-25, 2014, New York, USA Skin Pattern Sonification Using NMF-based Visual Feature Extraction and Learning-based PMSon

Source URL: mat.ucsb.edu

• Multimodal interaction
• Display technology
• Cognitive science
• Sonification
• Cognition
• Neuroscience
• User interface techniques
• Auditory display
• Sensory systems
• Non-negative matrix factorization
• Pattern recognition
• Perception

Multimodal Deep Learning Jiquan Ngiam1 Aditya Khosla1

Source URL: cs.stanford.edu

Accelerating Multimodal Sequence Retrieval with Convolutional Networks Daniel P. W. Ellis LabROSA Columbia University New York, NY 10027

Source URL: colinraffel.com

• Computing
• Dynamic programming
• Search algorithms
• Dynamic time warping
• Time series analysis
• Computational linguistics
• Information science
• Humancomputer interaction
• Speech recognition
• Hash function
• MIDI
• Deep learning

Awareness and Coordination in Shared Workspaces Paul Dourish and Victoria Bellotti Rank Xerox EuroPARC 61 Regent St Cambridge CB2 1AB UK ,

Source URL: www.dourish.com

• Groupware
• Collaboration
• Multimodal interaction
• Humancomputer interaction
• Educational psychology
• Computer-supported cooperative work
• Collaborative editing
• Paul Dourish
• Collaborative workspace
• Computer-supported collaborative learning
• Collaborative software
• Awareness

Entropy Minima and Distribution Structural Modifications in Blind Separation of Multimodal Sources Frédéric Vrins, Cédric Archambeau and Michel Verleysen1 Université catholique de Louvain (UCL) - Machine Learning Gro

Source URL: www0.cs.ucl.ac.uk

Distributional Vowel Training Is Less Effective for Adults than for Infants. A Study Using the Mismatch Response Karin Wanrooij1*, Paul Boersma1, Titia L. van Zuijen2 1 Amsterdam Center for Language and Communication, Un

Source URL: www.fon.hum.uva.nl

• Neuroscience
• Mathematical analysis
• Nervous system
• Multimodal distribution
• Language acquisition
• Unimodality
• Mode
• Electroencephalography
• Sleep
• Statistical learning in language acquisition

Learning to Name Faces: A Multimodal Learning Scheme for Search-Based Face Annotation Dayong Wang† , Steven C.H. Hoi† , Pengcheng Wu† , Jianke Zhu‡ , Ying He† , Chunyan Miao† †

Source URL: dayongwang.info

Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines Chao Sui, Mohammed Bennamoun School of Computer Science and Software Engineering University of Western Australi

Source URL: www.cv-foundation.org

• Artificial neural networks
• Applied mathematics
• Human communication
• Artificial intelligence
• Computational neuroscience
• Computational linguistics
• Deep learning
• Perception
• Speech recognition
• Lip reading
• Multimodal learning
• DBm