Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition
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[1] Emily Mower Provost,et al. Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences , 2019, IEEE Transactions on Affective Computing.
[2] Dacheng Tao,et al. Bregman Divergence-Based Regularization for Transfer Subspace Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[3] ChengXiang Zhai,et al. Robust Unsupervised Feature Selection , 2013, IJCAI.
[4] Xuelong Li,et al. Unsupervised Feature Selection with Structured Graph Optimization , 2016, AAAI.
[5] Peng Song,et al. Speaker-Independent Speech Emotion Recognition Based on Two-Layer Multiple Kernel Learning , 2013, IEICE Trans. Inf. Syst..
[6] Jinkyu Lee,et al. High-level feature representation using recurrent neural network for speech emotion recognition , 2015, INTERSPEECH.
[7] Qiang Yang,et al. Transfer Learning via Dimensionality Reduction , 2008, AAAI.
[8] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[9] Yongzhao Zhan,et al. Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks , 2014, IEEE Transactions on Multimedia.
[10] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[11] Fakhri Karray,et al. Survey on speech emotion recognition: Features, classification schemes, and databases , 2011, Pattern Recognit..
[12] Gabriela Csurka,et al. Domain Adaptation for Visual Applications: A Comprehensive Survey , 2017, ArXiv.
[13] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[14] Shuicheng Yan,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007 .
[15] Adrian Barbu,et al. Feature Selection with Annealing for Computer Vision and Big Data Learning , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Emily Mower Provost,et al. Using regional saliency for speech emotion recognition , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[18] Xuelong Li,et al. Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation , 2016, IEEE Transactions on Image Processing.
[19] Wenming Zheng,et al. A Novel Speech Emotion Recognition Method via Incomplete Sparse Least Square Regression , 2014, IEEE Signal Processing Letters.
[20] Xuelong Li,et al. A-Optimal Projection for Image Representation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Tieniu Tan,et al. Feature Selection Based on Structured Sparsity: A Comprehensive Study , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[22] Nicu Sebe,et al. Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection , 2012, IEEE Transactions on Multimedia.
[23] Björn W. Schuller,et al. Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition , 2014, 2014 22nd International Conference on Pattern Recognition.
[24] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[25] Tieniu Tan,et al. l2, 1 Regularized correntropy for robust feature selection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Björn W. Schuller,et al. Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition , 2014, IEEE Signal Processing Letters.
[27] Jiawei Han,et al. Semi-supervised Discriminant Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[28] Thomas S. Huang,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation. , 2011, IEEE transactions on pattern analysis and machine intelligence.
[29] Jing Liu,et al. Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection , 2014, IEEE Transactions on Knowledge and Data Engineering.
[30] Peng Song,et al. Speech Emotion Recognition Using Transfer Learning , 2014, IEICE Trans. Inf. Syst..
[31] Deng Cai,et al. Laplacian Score for Feature Selection , 2005, NIPS.
[32] Robert I. Damper,et al. On Acoustic Emotion Recognition: Compensating for Covariate Shift , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[33] Aroor Dinesh Dileep,et al. Speech emotion recognition using kernel sparse representation based classifier , 2016, 2016 24th European Signal Processing Conference (EUSIPCO).
[34] Philip S. Yu,et al. Transfer Sparse Coding for Robust Image Representation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Gary L. Miller,et al. Graph Embeddings and Laplacian Eigenvalues , 2000, SIAM J. Matrix Anal. Appl..
[36] Carlos Busso,et al. Iterative feature normalization for emotional speech detection , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[37] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[38] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[39] Haizhou Li,et al. An overview of text-independent speaker recognition: From features to supervectors , 2010, Speech Commun..
[40] Deng Cai,et al. Unsupervised feature selection for multi-cluster data , 2010, KDD.
[41] Jianmin Wang,et al. Transfer Learning with Graph Co-Regularization , 2012, IEEE Transactions on Knowledge and Data Engineering.
[42] Peng Song,et al. Speech emotion recognition method based on hidden factor analysis , 2015 .
[43] Peng Song,et al. Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization , 2016, Speech Commun..
[44] E. Ambikairajah,et al. Speaker Normalisation for Speech-Based Emotion Detection , 2007, 2007 15th International Conference on Digital Signal Processing.
[45] Wei Wu,et al. GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[46] Björn Schuller,et al. openSMILE:): the Munich open-source large-scale multimedia feature extractor , 2015, ACMMR.
[47] Dong Yu,et al. Speech emotion recognition using deep neural network and extreme learning machine , 2014, INTERSPEECH.
[48] Zi Huang,et al. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence ℓ2,1-Norm Regularized Discriminative Feature Selection for Unsupervised Learning , 2022 .
[49] George Trigeorgis,et al. The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring , 2017, INTERSPEECH.
[50] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[51] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[52] Jiawei Han,et al. Spectral Regression for Efficient Regularized Subspace Learning , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[53] peng song,et al. Transfer Linear Subspace Learning for Cross-Corpus Speech Emotion Recognition , 2019, IEEE Transactions on Affective Computing.
[54] Xin Xu,et al. Survey on discriminative feature selection for speech emotion recognition , 2014, The 9th International Symposium on Chinese Spoken Language Processing.
[55] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[56] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[57] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[58] Fakhri Karray,et al. Multiview Supervised Dictionary Learning in Speech Emotion Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[59] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[60] Fabio Valente,et al. The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism , 2013, INTERSPEECH.
[61] Ming Shao,et al. Generalized Transfer Subspace Learning Through Low-Rank Constraint , 2014, International Journal of Computer Vision.
[62] Björn W. Schuller,et al. Recent developments in openSMILE, the munich open-source multimedia feature extractor , 2013, ACM Multimedia.
[63] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[64] Zhihong Zeng,et al. A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions , 2009, IEEE Trans. Pattern Anal. Mach. Intell..