Friedhelm Schwenker
Friedhelm Schwenker
Ulm University, Institute of Neural Information Processing
Email verificata su
Citata da
Citata da
Three learning phases for radial-basis-function networks
F Schwenker, HA Kestler, G Palm
Neural networks 14 (4-5), 439-458, 2001
Pattern classification and clustering: A review of partially supervised learning approaches
F Schwenker, E Trentin
Pattern Recognition Letters 37, 4-14, 2014
Hierarchical support vector machines for multi-class pattern recognition
F Schwenker
Knowledge-Based Intelligent Engineering Systems and Allied Technologies …, 2000
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, 359-368, 2011
Iterative retrieval of sparsely coded associative memory patterns
F Schwenker, FT Sommer, G Palm
Neural Networks 9 (3), 445-455, 1996
Multiple classifier systems
J Kittler
Soft Computing Approach to Pattern Recognition and Image Processing, 3-22, 2002
Semi-supervised learning
MFA Hady, F Schwenker
Handbook on Neural Information Processing, 215-239, 2013
Neural associative memory
G Palm, F Schwenker, FT Sommer, A Strey, F Kurfeß
Associative processing and processors, 1997
Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification
S Scherer, J Kane, C Gobl, F Schwenker
Computer Speech & Language 27 (1), 263-287, 2013
Multimodal emotion classification in naturalistic user behavior
S Walter, S Scherer, M Schels, M Glodek, D Hrabal, M Schmidt, R Böck, ...
International Conference on Human-Computer Interaction, 603-611, 2011
De-noising of high-resolution ECG signals by combining the discrete wavelet transform with the Wiener filter
HA Kestler, M Haschka, W Kratz, F Schwenker, G Palm, V Hombach, ...
Computers in Cardiology 1998. Vol. 25 (Cat. No. 98CH36292), 233-236, 1998
Combining committee-based semi-supervised learning and active learning
MFA Hady, F Schwenker
Journal of Computer Science and Technology 25 (4), 681-698, 2010
A study of the robustness of KNN classifiers trained using soft labels
N El Gayar, F Schwenker, G Palm
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 67-80, 2006
Co-training by committee: a new semi-supervised learning framework
MFA Hady, F Schwenker
2008 IEEE International Conference on Data Mining Workshops, 563-572, 2008
Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data
S Scherer, M Glodek, F Schwenker, N Campbell, G Palm
ACM Trans. Interact. Intell. Syst 2 (1), 4, 2013
Decision templates for the classification of bioacoustic time series
C Dietrich, G Palm, F Schwenker
Information Fusion 4 (2), 101-109, 2003
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
depression 1 (1), 671-678, 2014
A generic framework for the inference of user states in human computer interaction
S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ...
Journal on Multimodal User Interfaces 6 (3), 117-141, 2012
Inferring depression and affect from application dependent meta knowledge
M Kächele, M Schels, F Schwenker
Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014
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 10 (5), 854-864, 2016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20