多模态学习方法综述

[1] Multi-modal local receptive field extreme learning machine for object recognition[J] . Huaping Liu,Fengxue Li,Xinying Xu,Fuchun Sun.Neurocomputing . 2018

[2] Effective visual design and communication practices for research posters: Exemplars based on the theory and practice of multimedia learning and rhetoric[J] . Rhianna K. Pedwell,James A. Hardy,Susan L. Rowland.Biochemistry and Molecular Biology Education . 2017 (3)

[3] Modeling intra- and inter-pair correlation via heterogeneous high-order preserving for cross-modal retrieval[J] . Leiquan Wang,Weichen Sun,Zhicheng Zhao,Fei Su.Signal Processing . 2017

[4] Unsupervised discriminant canonical correlation analysis based on spectral clustering[J] . Sheng Wang,Jianfeng Lu,Xingjian Gu,Benjamin A. Weyori,Jing-yu Yang.Neurocomputing . 2016

[5] Dropout: a simple way to prevent neural networks from overfitting[J] . Nitish Srivastava,Geoffrey E. Hinton,Alex Krizhevsky,Ilya Sutskever,Ruslan Salakhutdinov.Journal of Machine Learning Research . 2014 (1)

[6] Transductive Multilabel Learning via Label Set Propagation [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 25 (03) : 704 - 719

[7] Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation [J]. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2010, 18 (03): : 550 - 563

[8] Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework [J]. COGNITIVE COMPUTATION, 2010, 2 (03) : 180 - 190

[9] An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (10) : 4635 - 4643

[10] Framewise phoneme classification with bidirectional LSTM and other neural network architectures[J] . Alex Graves,Jürgen Schmidhuber.Neural Networks . 2005 (5)

[1] Multi-modal local receptive field extreme learning machine for object recognition[J] . Huaping Liu,Fengxue Li,Xinying Xu,Fuchun Sun.Neurocomputing . 2018

[2] Effective visual design and communication practices for research posters: Exemplars based on the theory and practice of multimedia learning and rhetoric[J] . Rhianna K. Pedwell,James A. Hardy,Susan L. Rowland.Biochemistry and Molecular Biology Education . 2017 (3)

[3] Modeling intra- and inter-pair correlation via heterogeneous high-order preserving for cross-modal retrieval[J] . Leiquan Wang,Weichen Sun,Zhicheng Zhao,Fei Su.Signal Processing . 2017

[4] Unsupervised discriminant canonical correlation analysis based on spectral clustering[J] . Sheng Wang,Jianfeng Lu,Xingjian Gu,Benjamin A. Weyori,Jing-yu Yang.Neurocomputing . 2016

[5] Dropout: a simple way to prevent neural networks from overfitting[J] . Nitish Srivastava,Geoffrey E. Hinton,Alex Krizhevsky,Ilya Sutskever,Ruslan Salakhutdinov.Journal of Machine Learning Research . 2014 (1)

[6] Transductive Multilabel Learning via Label Set Propagation [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 25 (03) : 704 - 719

[7] Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation [J]. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2010, 18 (03): : 550 - 563

[8] Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework [J]. COGNITIVE COMPUTATION, 2010, 2 (03) : 180 - 190

[9] An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (10) : 4635 - 4643

[10] Framewise phoneme classification with bidirectional LSTM and other neural network architectures[J] . Alex Graves,Jürgen Schmidhuber.Neural Networks . 2005 (5)