Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II
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[1] Bernhard Schölkopf,et al. Large Margin Component Analysis , 2007 .
[2] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[3] Marcos Eduardo Valle,et al. Complex-Valued Recurrent Correlation Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[4] Tzyy-Chyang Lu,et al. Quantum-based algorithm for optimizing artificial neural networks. , 2013, IEEE transactions on neural networks and learning systems.
[5] Xin Geng,et al. Binary relevance for multi-label learning: an overview , 2018, Frontiers of Computer Science.
[6] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[7] Akira Hirose,et al. Low-calculation-cost fading channel prediction using chirp Z-transform , 2009 .
[8] Zhi-Hua Zhou,et al. Facial Age Estimation by Learning from Label Distributions , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Xin Geng,et al. Facial Age Estimation by Adaptive Label Distribution Learning , 2014, 2014 22nd International Conference on Pattern Recognition.
[10] Wenxin Yu,et al. Jointly Optimized Extreme Learning Machine for Short-Term Prediction of Fading Channel , 2018, IEEE Access.
[11] Yu Zhang,et al. Label Distribution Learning by Exploiting Label Correlations , 2018, AAAI.
[12] Xin Geng,et al. Label Distribution Learning , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.
[13] Wei Xu,et al. CNN-RNN: A Unified Framework for Multi-label Image Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Graham W. Taylor,et al. Deep Multimodal Learning: A Survey on Recent Advances and Trends , 2017, IEEE Signal Processing Magazine.
[15] Baoyuan Wu,et al. ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Kavitha Chandra,et al. Prediction of State Transitions in Rayleigh Fading Channels , 2007, IEEE Transactions on Vehicular Technology.
[17] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[18] Ganesh K. Venayagamoorthy,et al. RNN based MIMO channel prediction , 2010, Signal Process..
[19] Qiang Ji,et al. Multi-label Learning with Missing Labels , 2014, 2014 22nd International Conference on Pattern Recognition.
[20] Xiaoqiang Ren,et al. Infinite Horizon Optimal Transmission Power Control for Remote State Estimation Over Fading Channels , 2016, IEEE Transactions on Automatic Control.
[21] Xin Geng,et al. Emotion Distribution Recognition from Facial Expressions , 2015, ACM Multimedia.
[22] Xuan Zhang,et al. Emotion Distribution Learning from Texts , 2016, EMNLP.
[23] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Xin Geng,et al. Head Pose Estimation Based on Multivariate Label Distribution , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[26] Mohammed Bennamoun,et al. Neural Representations of Natural Language , 2018 .
[27] Xin Geng,et al. Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning , 2015, IJCAI.
[28] Lei Zhang,et al. Multi-label sparse coding for automatic image annotation , 2009, CVPR.
[29] Suvrit Sra,et al. Geometric Mean Metric Learning , 2016, ICML.
[30] Xiuyi Jia,et al. Label Distribution Learning by Exploiting Sample Correlations Locally , 2018, AAAI.
[31] Russell Reed,et al. Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.
[32] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[34] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.