-
2
-
-
84893228257
-
A large video data base for computational models of induced emotion
-
Y. Baveye, J.-N. Bettinelli, E. Dellandrea, L. Chen, and C. Chamaret. A large video data base for computational models of induced emotion. In ACII, 2013.
-
(2013)
ACII
-
-
Baveye, Y.1
Bettinelli, J.-N.2
Dellandrea, E.3
Chen, L.4
Chamaret, C.5
-
3
-
-
84887484132
-
Towards a comprehensive computational model for aesthetic assessment of videos
-
S. Bhattacharya, B. Nojavanasghari, T. Chen, D. Liu, S.-F. Chang, and M. Shah. Towards a comprehensive computational model for aesthetic assessment of videos. In ACM Multimedia, 2013.
-
(2013)
ACM Multimedia
-
-
Bhattacharya, S.1
Nojavanasghari, B.2
Chen, T.3
Liu, D.4
Chang, S.-F.5
Shah, M.6
-
4
-
-
84887499660
-
Large-scale visual sentiment ontology and detectors using adjective-noun pairs
-
D. Borth, R. Ji, T. Chen, T. Breuel, and S.-F. Chang. Large-scale visual sentiment ontology and detectors using adjective-noun pairs. In ACM Multimedia, 2013.
-
(2013)
ACM Multimedia
-
-
Borth, D.1
Ji, R.2
Chen, T.3
Breuel, T.4
Chang, S.-F.5
-
5
-
-
80052677096
-
Integrating low-rank and group-sparse structures for robust multi-task learning
-
J. Chen, J. Zhou, and J. Ye. Integrating low-rank and group-sparse structures for robust multi-task learning. In KDD, 2011.
-
(2011)
KDD
-
-
Chen, J.1
Zhou, J.2
Ye, J.3
-
6
-
-
84899759732
-
Predicting viewer affective comments based on image content in social media
-
Y.-Y. Chen, T. Chen, W. H. Hsu, H.-Y. M. Liao, and S.-F. Chang. Predicting viewer affective comments based on image content in social media. In ACM ICMR, 2014.
-
(2014)
ACM ICMR
-
-
Chen, Y.-Y.1
Chen, T.2
Hsu, W.H.3
Liao, M.H.-Y.4
Chang, S.-F.5
-
7
-
-
84893250469
-
Affective benchmarking of movies based on the physiological responses of a real audience
-
J. Fleureau, P. Guillotel, and I. Orlac. Affective benchmarking of movies based on the physiological responses of a real audience. In ACII, 2013.
-
(2013)
ACII
-
-
Fleureau, J.1
Guillotel, P.2
Orlac, I.3
-
8
-
-
85153084288
-
TrueSkillTM: A bayesian skill rating system
-
R. Herbrich, T. Minka, and T. Graepel. TrueSkillTM: A Bayesian skill rating system. In NIPS, 2006.
-
(2006)
NIPS
-
-
Herbrich, R.1
Minka, T.2
Graepel, T.3
-
10
-
-
84913578692
-
Predicting emotions in user-generated videos
-
Y.-G. Jiang, B. Xu, and X. Xue. Predicting emotions in user-generated videos. In AAAI, 2014.
-
(2014)
AAAI
-
-
Jiang, Y.-G.1
Xu, B.2
Xue, X.3
-
11
-
-
84555194086
-
DEAP: A database for emotion analysis using physiological signals
-
S. Koelstra, C. Mühl, M. Soleymani, J.-S. Lee, A. Yazdani, T. Ebrahimi, T. Pun, A. Nijholt, and I. Patras. DEAP: A database for emotion analysis using physiological signals. IEEE TAffC, 2011.
-
(2011)
IEEE TAffC
-
-
Koelstra, S.1
Mühl, C.2
Soleymani, M.3
Lee, J.-S.4
Yazdani, A.5
Ebrahimi, T.6
Pun, T.7
Nijholt, A.8
Patras, I.9
-
12
-
-
78650985361
-
Affective image classification using features inspired by psychology and art theory
-
J. Machajdik and A. Hanbury. Affective image classification using features inspired by psychology and art theory. In ACM Multimedia, 2010.
-
(2010)
ACM Multimedia
-
-
Machajdik, J.1
Hanbury, A.2
-
14
-
-
77957726379
-
Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers
-
A. Schaefer, F. Nils, X. Sanchez, and P. Philippot. Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers. Cognition and Emotion, 2010.
-
(2010)
Cognition and Emotion
-
-
Schaefer, A.1
Nils, F.2
Sanchez, X.3
Philippot, P.4
-
16
-
-
84902261734
-
Deep learning using linear support vector machines
-
Y. Tang. Deep learning using linear support vector machines. In ICML, 2013.
-
(2013)
ICML
-
-
Tang, Y.1
-
18
-
-
84871389944
-
Understanding the emotional impact of images
-
X. Wang, J. Jia, P. Hu, S. Wu, J. Tang, and L. Cai. Understanding the emotional impact of images. In ACM Multimedia, 2012.
-
(2012)
ACM Multimedia
-
-
Wang, X.1
Jia, J.2
Hu, P.3
Wu, S.4
Tang, J.5
Cai, L.6
|