Travelled to:1 × Germany
1 × Japan
1 × Sweden
1 × Turkey
1 × USA
Collaborated with:S.Faußer M.Schels M.Kächele M.Glodek G.Palm D.Zharkov S.Meudt S.Walter S.Scherer D.Hrabal M.Schmidt R.Böck K.Limbrecht H.C.Traue
Talks about:recognit (3) fusion (3) emot (3) classifi (2) symbol (2) method (2) featur (2) facial (2) base (2) use (2)
Person: Friedhelm Schwenker
DBLP: Schwenker:Friedhelm
Contributed to:
20142012
2012
20112010Wrote 8 papers:
- ICPR-2014-KacheleS #independence #recognition #set
- Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition (MK, FS), pp. 4660–4665.
- ICPR-2014-KacheleZMS #feature model #quality #recognition #using
- Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition (MK, DZ, SM, FS), pp. 803–808.
- ICPR-2012-FausserS #clustering #dataset #kernel #scalability
- Clustering large datasets with kernel methods (SF, FS), pp. 501–504.
- ICPR-2012-GlodekSPS #classification #markov #multi #network #using
- Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks (MG, MS, GP, FS), pp. 1084–1087.
- MLDM-2012-GlodekSP #detection #process #recognition
- Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition (MG, FS, GP), pp. 394–404.
- HCI-MIIE-2011-WalterSSGHSBLTS #behaviour #classification #multimodal
- Multimodal Emotion Classification in Naturalistic User Behavior (SW, SS, MS, MG, DH, MS, RB, KL, HCT, FS), pp. 603–611.
- ICPR-2010-FausserS #approximate #learning
- Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts (SF, FS), pp. 2925–2928.
- ICPR-2010-SchelsS #approach #classification #image #multi #sequence
- A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors (MS, FS), pp. 4251–4254.