A Survey on Deep Learning for Multimodal Data Fusion

Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning

(2019) Myeongjun Jang et al.   INFORMATION SCIENCES

Improving variational autoencoder with deep feature consistent and generative adversarial training

(2019) Xianxu Hou et al.   NEUROCOMPUTING

Tensorizing Restricted Boltzmann Machine

(2019) Fujiao Ju et al.   ACM Transactions on Knowledge Discovery from Data

A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things

(2019) Jing Gao et al.   Future Generation Computer Systems-The International Journal of eScience

A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips

(2019) Tuan-Linh Nguyen et al.   NEURAL NETWORKS

How Can Heterogeneous Internet of Things Build our Future: A Survey

(2018) Tie Qiu et al.   IEEE Communications Surveys and Tutorials

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions

(2018) Chengcheng Jia et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things

(2018) Peng Li et al.   IEEE Transactions on Industrial Informatics

Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling

(2018) Abrar H. Abdulnabi et al.   IEEE TRANSACTIONS ON MULTIMEDIA

A survey on deep learning for big data

(2018) Qingchen Zhang et al.   Information Fusion

An overview on Restricted Boltzmann Machines

(2018) Nan Zhang et al.   NEUROCOMPUTING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Blind Denoising Autoencoder

(2018) Angshul Majumdar   IEEE Transactions on Neural Networks and Learning Systems

Sound Event Recognition Using Auditory-Receptive-Field Binary Pattern and Hierarchical-Diving Deep Belief Network

(2018) Chien-Yao Wang et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

A Survey of Multi-View Representation Learning

(2018) Yingming Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine

(2018) Lin Ning et al.   NEURAL NETWORKS

Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks

(2018) Akane Sano et al.   IEEE Journal of Biomedical and Health Informatics

Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification

(2017) Erzhu Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

(2017) Zhihan Lv et al.   IEEE Transactions on Industrial Informatics

Deep Visual-Semantic Alignments for Generating Image Descriptions

(2017) Andrej Karpathy et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A review of affective computing: From unimodal analysis to multimodal fusion

(2017) Soujanya Poria et al.   Information Fusion

Deep Multimodal Fusion: A Hybrid Approach

(2017) Mohamed R. Amer et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A multimodal deep learning framework using local feature representations for face recognition

(2017) Alaa S. Al-Waisy et al.   MACHINE VISION AND APPLICATIONS

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

Learning Cascaded Deep Auto-Encoder Networks for Face Alignment

(2016) Renliang Weng et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Auto-encoder based dimensionality reduction

(2016) Yasi Wang et al.   NEUROCOMPUTING

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

Skyline Discovery and Composition of Multi-Cloud Mashup Services

(2016) Fan Zhang et al.   IEEE Transactions on Services Computing

Unseen Noise Estimation Using Separable Deep Auto Encoder for Speech Enhancement

(2016) Meng Sun et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

A survey on the application of recurrent neural networks to statistical language modeling

(2015) Wim De Mulder et al.   COMPUTER SPEECH AND LANGUAGE

Multimodal Deep Autoencoder for Human Pose Recovery

(2015) Chaoqun Hong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Approximate event detection over multi-modal sensing data

(2015) Jing Gao et al.   JOURNAL OF COMBINATORIAL OPTIMIZATION

Deep learning

(2015) Yann LeCun et al.   NATURE

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

(2015) Dana Lahat et al.   PROCEEDINGS OF THE IEEE

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

(2014) Huaguang Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Big Data Deep Learning: Challenges and Perspectives

(2014) Xue-Wen Chen et al.   IEEE Access

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multimodal Data Fusion Based on Mutual Information

(2011) R. Bramon et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Multisensor data fusion: A review of the state-of-the-art

(2011) Bahador Khaleghi et al.   Information Fusion

A review of multivariate methods for multimodal fusion of brain imaging data

(2011) Jing Sui et al.   JOURNAL OF NEUROSCIENCE METHODS

Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data

(2011) Johannes Wagner et al.   IEEE Transactions on Affective Computing

Linked independent component analysis for multimodal data fusion

(2010) Adrian R. Groves et al.   NEUROIMAGE