Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning
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Erkki Oja | He Zhang | Zhirong Yang | Mehmet Gönen | E. Oja | Zhirong Yang | He Zhang | M. Gönen
[1] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[2] Rosalind W. Picard. Affective computing: (526112012-054) , 1997 .
[3] James Ze Wang,et al. On shape and the computability of emotions , 2012, ACM Multimedia.
[4] Andreas Bender,et al. Collaboration-Based Function Prediction in Protein-Protein Interaction Networks , 2011, International Symposium on Intelligent Data Analysis.
[5] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[6] Sam J. Maglio,et al. Emotional category data on images from the international affective picture system , 2005, Behavior research methods.
[7] Neil D. Lawrence,et al. Semi-supervised Learning via Gaussian Processes , 2004, NIPS.
[8] Jorma Laaksonen,et al. Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features , 2011, IDA.
[9] Allan Hanbury,et al. Affective image classification using features inspired by psychology and art theory , 2010, ACM Multimedia.
[10] Erkki Oja,et al. PicSOM-self-organizing image retrieval with MPEG-7 content descriptors , 2002, IEEE Trans. Neural Networks.
[11] A. Hanjalic,et al. Extracting moods from pictures and sounds: towards truly personalized TV , 2006, IEEE Signal Processing Magazine.
[12] E. Vesterinen,et al. Affective Computing , 2009, Encyclopedia of Biometrics.
[13] Ethem Alpaydin,et al. Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..
[14] Matthew J. Beal. Variational algorithms for approximate Bayesian inference , 2003 .
[15] Jorma Laaksonen,et al. PicSOM Experiments in TRECVID 2018 , 2015, TRECVID.