Learning Visual Emotion Distributions via Multi-Modal Features Fusion
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Yue Gao | Jungong Han | Guiguang Ding | Sicheng Zhao | Guiguang Ding | Yue Gao | J. Han | Sicheng Zhao
[1] James Ze Wang,et al. On shape and the computability of emotions , 2012, ACM Multimedia.
[2] Hongxun Yao,et al. Predicting discrete probability distribution of image emotions , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[3] Jim Dowling,et al. Predicting probability distributions for surf height using an ensemble of mixture density networks , 2005, ICML.
[4] Jufeng Yang,et al. Discovering affective regions in deep convolutional neural networks for visual sentiment prediction , 2016, 2016 IEEE International Conference on Multimedia and Expo (ICME).
[5] Juan-Zi Li,et al. How Do Your Friends on Social Media Disclose Your Emotions? , 2014, AAAI.
[6] Allan Hanbury,et al. Affective image classification using features inspired by psychology and art theory , 2010, ACM Multimedia.
[7] Yue Gao,et al. Predicting Personalized Emotion Perceptions of Social Images , 2016, ACM Multimedia.
[8] Meng Wang,et al. Unified Video Annotation via Multigraph Learning , 2009, IEEE Transactions on Circuits and Systems for Video Technology.
[9] Yue Gao,et al. Predicting Personalized Image Emotion Perceptions in Social Networks , 2018, IEEE Transactions on Affective Computing.
[10] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[11] Hongxun Yao,et al. Affective Image Retrieval via Multi-Graph Learning , 2014, ACM Multimedia.
[12] Bernhard Schölkopf,et al. Learning with Hypergraphs: Clustering, Classification, and Embedding , 2006, NIPS.
[13] Min-Ling Zhang,et al. Lift: Multi-Label Learning with Label-Specific Features , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Jiebo Luo,et al. Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark , 2016, AAAI.
[15] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[16] Alessandro Vinciarelli,et al. A Survey of Personality Computing , 2014, IEEE Transactions on Affective Computing.
[17] Sam J. Maglio,et al. Emotional category data on images from the international affective picture system , 2005, Behavior research methods.
[18] Tao Chen,et al. Object-Based Visual Sentiment Concept Analysis and Application , 2014, ACM Multimedia.
[19] Yeshaiahu Fainman,et al. A learning law for density estimation , 1994, IEEE Trans. Neural Networks.
[20] Juhan Nam,et al. Multimodal Deep Learning , 2011, ICML.
[21] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[22] Tsuhan Chen,et al. A mixed bag of emotions: Model, predict, and transfer emotion distributions , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Nicu Sebe,et al. Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Sonja Grün,et al. Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events , 2013, Neural Computation.
[25] P. Ekman. An argument for basic emotions , 1992 .
[26] Zhi-Hua Zhou,et al. Facial Age Estimation by Learning from Label Distributions , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Yue Gao,et al. Exploring Principles-of-Art Features For Image Emotion Recognition , 2014, ACM Multimedia.
[28] Jiebo Luo,et al. Robust Visual-Textual Sentiment Analysis: When Attention meets Tree-structured Recursive Neural Networks , 2016, ACM Multimedia.
[29] Johannes Wagner,et al. Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data , 2011, IEEE Transactions on Affective Computing.
[30] Yue Gao,et al. Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression , 2017, IEEE Transactions on Multimedia.
[31] H. Schlosberg. Three dimensions of emotion. , 1954, Psychological review.
[32] Rongrong Ji,et al. Large-scale visual sentiment ontology and detectors using adjective noun pairs , 2013, ACM Multimedia.
[33] Xin Geng,et al. Label Distribution Learning , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.
[34] Hui Chen,et al. Temporal-Difference Learning With Sampling Baseline for Image Captioning , 2018, AAAI.
[35] Belur V. Dasarathy,et al. Medical Image Fusion: A survey of the state of the art , 2013, Inf. Fusion.
[36] Tao Mei,et al. Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks , 2016, IJCAI.
[37] Yue Gao,et al. Multimedia Social Event Detection in Microblog , 2015, MMM.
[38] Hui Tian,et al. Cumulative Probability Distribution Model for Evaluating User Behavior Prediction Algorithms , 2013, 2013 International Conference on Social Computing.
[39] James Hays,et al. SUN attribute database: Discovering, annotating, and recognizing scene attributes , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Jiebo Luo,et al. Aesthetics and Emotions in Images , 2011, IEEE Signal Processing Magazine.
[41] Qiang Liu,et al. Reference Based LSTM for Image Captioning , 2017, AAAI.
[42] Yue Gao,et al. Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion , 2017, IJCAI.