Markus Kächele
Markus Kächele
Institute of Neural Information Processing, Ulm University
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Zitiert von
Multiple classifier systems for the classification of audio-visual emotional states
M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ...
Affective Computing and Intelligent Interaction: Fourth International …, 2011
Adaptive confidence learning for the personalization of pain intensity estimation systems
M Kächele, M Amirian, P Thiam, P Werner, S Walter, G Palm, ...
Evolving Systems 8, 71-83, 2017
Methods for Person-Centered Continuous Pain Intensity Assessment from Bio-Physiological Channels
M Kächele, P Thiam, M Amirian, F Schwenker, G Palm
IEEE Journal of Selected Topics in Signal Processing, 2016
Fusion of audio-visual features using hierarchical classifier systems for the recognition of affective states and the state of depression
M Kächele, M Glodek, D Zharkov, S Meudt, F Schwenker
International Conference on Pattern Recognition Applications and Methods …, 2014
Multimodal data fusion for person-independent, continuous estimation of pain intensity
M Kächele, P Thiam, M Amirian, P Werner, S Walter, F Schwenker, ...
Engineering Applications of Neural Networks: 16th International Conference …, 2015
Bio-visual fusion for person-independent recognition of pain intensity
M Kächele, P Werner, A Al-Hamadi, G Palm, S Walter, F Schwenker
Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015
Inferring depression and affect from application dependent meta knowledge
M Kächele, M Schels, F Schwenker
AVEC 2014, Satellite workshop of ACM Multimedia 2014, 2014
Ensemble methods for continuous affect recognition: Multi-modality, temporality, and challenges
M Kächele, P Thiam, G Palm, F Schwenker, M Schels
Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015
Speeding up k-means by approximating Euclidean distances via block vectors
T Bottesch, T Bühler, M Kächele
Proceedings of The 33rd International Conference on Machine Learning, 2578-2586, 2016
Using unlabeled data to improve classification of emotional states in human computer interaction
M Schels, M Kächele, M Glodek, D Hrabal, S Walter, F Schwenker
Journal on Multimodal User Interfaces 8, 5-16, 2014
Design and fabrication of faceted mirror arrays for light field capture
M Fuchs, M Kächele, S Rusinkiewicz
Computer Graphics Forum 32 (8), 246-257, 2013
Prosodic, spectral and voice quality feature selection using a long-term stopping criterion for audio-based emotion recognition
M Kächele, D Zharkov, S Meudt, F Schwenker
Pattern Recognition (ICPR), 2014 22nd International Conference on, 803-808, 2014
Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech
S Meudt, D Zharkov, M Kächele, F Schwenker
Proceedings of the 15th ACM on International conference on multimodal …, 2013
Revisiting the EmotiW challenge: how wild is it really? Classification of human emotions in movie snippets based on multiple features
M Kächele, M Schels, S Meudt, G Palm, F Schwenker
Journal on Multimodal User Interfaces 10, 151-162, 2016
Using radial basis function neural networks for continuous and discrete pain estimation from bio-physiological signals
M Amirian, M Kächele, F Schwenker
Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016
Data fusion for automated pain recognition
S Walter, S Gruss, H Traue, P Werner, A Al-Hamadi, M Kächele, ...
2015 9th International Conference on Pervasive Computing Technologies for …, 2015
Support vector regression of sparse dictionary-based features for view-independent action unit intensity estimation
M Amirian, M Kächele, G Palm, F Schwenker
2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017
Continuous multimodal human affect estimation using echo state networks
M Amirian, M Kächele, P Thiam, V Kessler, F Schwenker
Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016
Detection of emotional events utilizing support vector methods in an active learning HCI scenario
P Thiam, S Meudt, M Kächele, G Palm, F Schwenker
Proceedings of the 2014 workshop on emotion representation and modelling in …, 2014
Cascaded fusion of dynamic, spatial, and textural feature sets for person-independent facial emotion recognition
M Kächele, F Schwenker
2014 22nd International Conference on Pattern Recognition, 4660-4665, 2014
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