A Sequential Data Analysis Approach to Detect Emergent Leaders in Small Groups
暂无分享,去创建一个
Vittorio Murino | Vasiliki-Maria Katsageorgiou | Cigdem Beyan | Vittorio Murino | C. Beyan | Vasiliki-Maria Katsageorgiou
[1] Kyriaki Kalimeri,et al. Modeling dominance effects on nonverbal behaviors using granger causality , 2012, ICMI '12.
[2] Steve Renals,et al. Multimodal Integration for Meeting Group Action Segmentation and Recognition , 2005, MLMI.
[3] Hervé Bourlard,et al. Automatic Recognition of Emergent Social Roles in Small Group Interactions , 2015, IEEE Transactions on Multimedia.
[4] Fatih Murat Porikli,et al. Covariance Tracking using Model Update Based on Lie Algebra , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[5] Gerald Friedland,et al. Estimating Dominance in Multi-Party Meetings Using Speaker Diarization , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[6] Vittorio Murino,et al. Detecting emergent leader in a meeting environment using nonverbal visual features only , 2016, ICMI.
[7] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[8] Vittorio Murino,et al. Moving as a Leader: Detecting Emergent Leadership in Small Groups using Body Pose , 2017, ACM Multimedia.
[9] Daniel Gatica-Perez,et al. Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition , 2012, Journal on Multimodal User Interfaces.
[10] Vittorio Murino,et al. Identification of emergent leaders in a meeting scenario using multiple kernel learning , 2016, ASSP4MI '16.
[11] Geoffrey E. Hinton,et al. Two Distributed-State Models For Generating High-Dimensional Time Series , 2011, J. Mach. Learn. Res..
[12] Dairazalia Sanchez-Cortes,et al. Computational Methods for Audio-Visual Analysis of Emergent Leadership in Teams , 2013 .
[13] Samy Bengio,et al. Automatic analysis of multimodal group actions in meetings , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Ethem Alpaydin,et al. Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..
[15] Oya Aran,et al. Predicting the Performance in Decision-Making Tasks: From Individual Cues to Group Interaction , 2016, IEEE Transactions on Multimedia.
[16] Alessandro Vinciarelli,et al. Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models , 2009, ACM Multimedia.
[17] Peter Robinson,et al. Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[18] Geoffrey E. Hinton,et al. Modeling pixel means and covariances using factorized third-order boltzmann machines , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] Alessandro Vinciarelli,et al. Role recognition in multiparty recordings using social affiliation networks and discrete distributions , 2008, ICMI '08.
[20] Vittorio Murino,et al. Prediction of the Leadership Style of an Emergent Leader Using Audio and Visual Nonverbal Features , 2018, IEEE Transactions on Multimedia.
[21] Yoshua Bengio,et al. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription , 2012, ICML.
[22] D. Gática-Pérez,et al. A Nonverbal Behavior Approach to Identify Emergent Leaders in Small Groups , 2012, IEEE Transactions on Multimedia.
[23] Daniel Gatica-Perez,et al. Detection and application of influence rankings in small group meetings , 2006, ICMI '06.
[24] Alex Pentland,et al. Using the influence model to recognize functional roles in meetings , 2007, ICMI '07.
[25] Fabio Valente,et al. Understanding social signals in multi-party conversations: Automatic recognition of socio-emotional roles in the AMI meeting corpus , 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.
[26] Xuelong Li,et al. Gabor-Based Region Covariance Matrices for Face Recognition , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[27] Fatih Murat Porikli,et al. Human Detection via Classification on Riemannian Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Ethem Alpaydin,et al. Localized multiple kernel learning , 2008, ICML '08.
[29] Samy Bengio,et al. Detecting group interest-level in meetings , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[30] Geoffrey E. Hinton,et al. Learning Multilevel Distributed Representations for High-Dimensional Sequences , 2007, AISTATS.
[31] Mohamed R. Amer,et al. Deep Multimodal Fusion: A Hybrid Approach , 2017, International Journal of Computer Vision.
[32] Samy Bengio,et al. Modeling individual and group actions in meetings with layered HMMs , 2006, IEEE Transactions on Multimedia.
[33] Janusz Konrad,et al. Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[34] Stephen J. Maybank,et al. Human Action Recognition under Log-Euclidean Riemannian Metric , 2009, ACCV.
[35] Mohamed R. Amer,et al. Human Social Interaction Modeling Using Temporal Deep Networks , 2015, ArXiv.
[36] Alex Pentland,et al. Automatic Modeling of Dominance Effects Using Granger Causality , 2011, HBU.
[37] Amy Loutfi,et al. A review of unsupervised feature learning and deep learning for time-series modeling , 2014, Pattern Recognit. Lett..
[38] Marwan Torki,et al. Human Action Recognition Using a Temporal Hierarchy of Covariance Descriptors on 3D Joint Locations , 2013, IJCAI.
[39] Daniel Gatica-Perez,et al. Identifying emergent leadership in small groups using nonverbal communicative cues , 2010, ICMI-MLMI '10.
[40] Hiroshi Sawada,et al. Automatic inference of cross-modal nonverbal interactions in multiparty conversations: "who responds to whom, when, and how?" from gaze, head gestures, and utterances , 2007, ICMI '07.
[41] Steve Renals,et al. Dynamic Bayesian networks for meeting structuring , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[42] Steve Renals,et al. Automatic Meeting Segmentation Using Dynamic Bayesian Networks , 2007, IEEE Transactions on Multimedia.
[43] Fabio Valente,et al. Social Signal Processing: Understanding Nonverbal Communication in Social Interactions , 2010 .
[44] Junji Yamato,et al. A probabilistic inference of multiparty-conversation structure based on Markov-switching models of gaze patterns, head directions, and utterances , 2005, ICMI '05.
[45] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[46] Hervé Bourlard,et al. Automatic social role recognition in professional meetings using conditional random fields , 2013, INTERSPEECH.
[47] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Alex Pentland,et al. Modeling Functional Roles Dynamics in Small Group Interactions , 2013, IEEE Transactions on Multimedia.
[49] Hiroshi Murase,et al. Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns , 2006, CHI Extended Abstracts.
[50] E. Berscheid. Joining Together: Group Theory and Group Skills , 1976 .
[51] Alexander H. Waibel,et al. Modeling focus of attention for meeting indexing based on multiple cues , 2002, IEEE Trans. Neural Networks.
[52] Geoffrey E. Hinton,et al. The Recurrent Temporal Restricted Boltzmann Machine , 2008, NIPS.