Combination of sequential class distributions from multiple channels using Markov fusion networks
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[1] Günther Palm,et al. On the discovery of events in EEG data utilizing information fusion , 2013, Comput. Stat..
[2] J. Allwood. A Framework for Studying Human Multimodal Communication , 2013 .
[3] Vladimir Pavlovic,et al. Face tracking and recognition with visual constraints in real-world videos , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Michael Beetz,et al. CoTeSys—Cognition for Technical Systems , 2010, KI - Künstliche Intelligenz.
[5] Friedhelm Schwenker,et al. Conditioned Hidden Markov Model Fusion for Multimodal Classification , 2011, INTERSPEECH.
[6] Ludmila I. Kuncheva,et al. Combining Pattern Classifiers: Methods and Algorithms , 2004 .
[7] Eric Horvitz,et al. Layered representations for learning and inferring office activity from multiple sensory channels , 2004, Comput. Vis. Image Underst..
[8] Nello Cristianini,et al. An introduction to Support Vector Machines , 2000 .
[9] Yong Gu Ji. Inferring prosody from facial cues for EMG-based synthesis of silent speech , 2012 .
[10] Günther Palm,et al. Multiple classifier combination using reject options and markov fusion networks , 2012, ICMI '12.
[11] Günther Palm,et al. Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition , 2012, Belief Functions.
[13] P. Ekman. An argument for basic emotions , 1992 .
[14] Friedhelm Schwenker,et al. Kalman Filter Based Classifier Fusion for Affective State Recognition , 2013, MCS.
[15] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[16] Xiaojin Zhu,et al. Semi-Supervised Learning Literature Survey , 2005 .
[17] Günther Palm,et al. Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition , 2012, MLDM.
[18] E. Anna,et al. Cognitive Behavioural Systems , 2012 .
[19] Subhash C. Bagui,et al. Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.
[20] Maja Pantic,et al. The SEMAINE corpus of emotionally coloured character interactions , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[21] Markus Kächele,et al. Using unlabeled data to improve classification of emotional states in human computer interaction , 2013, Journal on Multimodal User Interfaces.
[22] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[23] Friedhelm Schwenker,et al. Fusion of Fragmentary Classifier Decisions for Affective State Recognition , 2012, MPRSS.
[24] Günther Palm,et al. A generic framework for the inference of user states in human computer interaction , 2012, Journal on Multimodal User Interfaces.
[25] Sebastian Thrun,et al. An Application of Markov Random Fields to Range Sensing , 2005, NIPS.
[26] William T. Freeman,et al. Orientation Histograms for Hand Gesture Recognition , 1995 .
[27] Wolfgang Wahlster,et al. SmartKom: Symmetric Multimodality in an Adaptive and Reusable Dialogue Shell , 2003 .
[28] Zhihong Zeng,et al. A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions , 2009, IEEE Trans. Pattern Anal. Mach. Intell..
[29] G. Palm,et al. Learning of Decision Fusion Mappings for Pattern Recognition , 2006 .
[30] Roddy Cowie,et al. Emotional speech: Towards a new generation of databases , 2003, Speech Commun..
[31] Markus Kächele,et al. Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data , 2011, PSL.
[32] Friedhelm Schwenker,et al. Classification of bioacoustic time series based on the combination of global and local decisions , 2004, Pattern Recognit..
[33] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[34] Dustin Boswell,et al. Introduction to Support Vector Machines , 2002 .
[35] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[36] Ana Paiva,et al. Affect recognition for interactive companions: challenges and design in real world scenarios , 2009, Journal on Multimodal User Interfaces.
[37] Friedhelm Schwenker,et al. Incorporating uncertainty in a layered HMM architecture for human activity recognition , 2011, J-HGBU '11.
[38] Nadia Bianchi-Berthouze,et al. Naturalistic Affective Expression Classification by a Multi-stage Approach Based on Hidden Markov Models , 2011, ACII.
[39] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[40] K. Scherer,et al. The World of Emotions is not Two-Dimensional , 2007, Psychological science.
[41] Andreas Wendemuth,et al. Companion-Technology for Cognitive Technical Systems , 2011, KI - Künstliche Intelligenz.
[42] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[43] Alex Acero,et al. Spoken Language Processing: A Guide to Theory, Algorithm and System Development , 2001 .
[44] Björn W. Schuller,et al. AVEC 2011-The First International Audio/Visual Emotion Challenge , 2011, ACII.
[45] Louis-Philippe Morency,et al. Modeling Latent Discriminative Dynamic of Multi-dimensional Affective Signals , 2011, ACII.
[46] S. Ishikawa,et al. Human activity recognition: Various paradigms , 2008, 2008 International Conference on Control, Automation and Systems.
[47] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[48] Friedhelm Schwenker,et al. Partially Supervised Learning , 2011, Lecture Notes in Computer Science.
[49] Stephen E. Levinson,et al. A fused hidden Markov model with application to bimodal speech processing , 2004, IEEE Transactions on Signal Processing.
[50] Alex Pentland,et al. Social signal processing: state-of-the-art and future perspectives of an emerging domain , 2008, ACM Multimedia.
[51] Björn W. Schuller,et al. Towards More Reality in the Recognition of Emotional Speech , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[52] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[53] Günther Palm,et al. Towards Emotion Recognition in Human Computer Interaction , 2012, WIRN.
[54] Christian R. Dietrich,et al. Temporal sensorfusion for the classification of bioacoustic time series , 2004 .
[55] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[56] Günther Palm,et al. Hidden Markov models with graph densities for action recognition , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[57] Mário A. T. Figueiredo,et al. Similarity-Based Clustering of Sequences Using Hidden Markov Models , 2003, MLDM.
[58] Sascha Meudt,et al. Multi-Modal Classifier-Fusion for the Recognition of Emotions , 2013 .
[59] Gwen Littlewort,et al. The computer expression recognition toolbox (CERT) , 2011, Face and Gesture 2011.
[60] Christian Thiel,et al. Multiple Classifier Systems Incorporating Uncertainty , 2011 .
[61] Björn W. Schuller,et al. Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing , 2007, ACII.
[62] Björn W. Schuller,et al. Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling , 2010, INTERSPEECH.
[63] Markus Kächele,et al. Multiple Classifier Systems for the Classification of Audio-Visual Emotional States , 2011, ACII.