Region-based convolutional neural network using group sparse regularization for image sentiment classification

[1]  Jun Li,et al.  Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying , 2019, IEEE Transactions on Image Processing.

[2]  Jun Li,et al.  Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning , 2019, IEEE Transactions on Multimedia.

[3]  Fang Li,et al.  Research on iris image encryption based on deep learning , 2018, EURASIP Journal on Image and Video Processing.

[4]  Yue Gao,et al.  Predicting Personalized Image Emotion Perceptions in Social Networks , 2018, IEEE Transactions on Affective Computing.

[5]  Tao Mei,et al.  Boosting image sentiment analysis with visual attention , 2018, Neurocomputing.

[6]  Wen Long,et al.  Investor sentiment identification based on the universum SVM , 2018, Neural Computing and Applications.

[7]  Wei Zhang,et al.  Emotion recognition by assisted learning with convolutional neural networks , 2018, Neurocomputing.

[8]  Pengfei Wang,et al.  Kernel correlation filters for visual tracking with adaptive fusion of heterogeneous cues , 2018, Neurocomputing.

[9]  Shunxiang Zhang,et al.  Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary , 2018, Future Gener. Comput. Syst..

[10]  Paul L. Rosin,et al.  Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions , 2018, IEEE Transactions on Multimedia.

[11]  Mike Thelwall,et al.  Sentiment Analysis Is a Big Suitcase , 2017, IEEE Intelligent Systems.

[12]  Jufeng Yang,et al.  Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network , 2017, IJCAI.

[13]  Erik Cambria,et al.  Deep Learning-Based Document Modeling for Personality Detection from Text , 2017, IEEE Intelligent Systems.

[14]  Jiebo Luo,et al.  Visual Sentiment Analysis by Attending on Local Image Regions , 2017, AAAI.

[15]  Quanzeng You,et al.  Sentiment and Emotion Analysis for Social Multimedia: Methodologies and Applications , 2016, ACM Multimedia.

[16]  Danilo Comminiello,et al.  Group sparse regularization for deep neural networks , 2016, Neurocomputing.

[17]  Tal Hassner,et al.  Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns , 2015, ICMI.

[18]  Jiebo Luo,et al.  Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks , 2015, AAAI.

[19]  C. Lawrence Zitnick,et al.  Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.

[20]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[21]  Min-Ling Zhang,et al.  A Review on Multi-Label Learning Algorithms , 2014, IEEE Transactions on Knowledge and Data Engineering.

[22]  Koen E. A. van de Sande,et al.  Selective Search for Object Recognition , 2013, International Journal of Computer Vision.

[23]  Volkan Cevher,et al.  Group-Sparse Model Selection: Hardness and Relaxations , 2013, IEEE Transactions on Information Theory.

[24]  Hatice Gunes,et al.  A multi-layer hybrid framework for dimensional emotion classification , 2011, ACM Multimedia.

[25]  Allan Hanbury,et al.  Affective image classification using features inspired by psychology and art theory , 2010, ACM Multimedia.

[26]  Alberto Del Bimbo,et al.  Proceedings of the 19th ACM international conference on Multimedia , 2010, MM 2010.

[27]  John Krumm,et al.  User-Generated Content , 2008, IEEE Pervasive Comput..

[28]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[29]  Sam J. Maglio,et al.  Emotional category data on images from the international affective picture system , 2005, Behavior research methods.

[30]  Proceedings of the 22nd ACM international conference on Multimedia , 2014 .

[31]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .