Markus Kächele

发表

Speeding up k-means by approximating Euclidean distances via block vectors

Markus Kächele, Thomas Bühler, Thomas Bottesch, 2016, ICML.

Machine Learning Systems for Multimodal Affect Recognition

Markus Kächele, Markus Kächele, 2019 .

The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2016, Front. ICT.

Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems

Patrick Thiam, Markus Kächele, Günther Palm, 2014, ANNPR.

Using unlabeled data to improve classification of emotional states in human computer interaction

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2013, Journal on Multimodal User Interfaces.

Data fusion for automated pain recognition

Markus Kächele, Friedhelm Schwenker, Ayoub Al-Hamadi, 2015, 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth).

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels

Patrick Thiam, Markus Kächele, Günther Palm, 2016, IEEE Journal of Selected Topics in Signal Processing.

Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2015, ICPRAM.

Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2014, MPRSS.

Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, 2014 22nd International Conference on Pattern Recognition.

Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, ICPRAM.

Adaptive confidence learning for the personalization of pain intensity estimation systems

Patrick Thiam, Markus Kächele, Günther Palm, 2017, Evol. Syst..

Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity

Markus Kächele, Friedhelm Schwenker, Ayoub Al-Hamadi, 2015, MCS.

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity

Patrick Thiam, Markus Kächele, Günther Palm, 2015, EANN.

Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2013, ICMI '13.

Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition

Markus Kächele, Friedhelm Schwenker, F. Schwenker, 2013, PSL.

Adaptive confidence learning for the personalization of pain intensity estimation systems

P. Werner, Steffen Walter, F. Schwenker, 2016, Evolving Systems.

Inferring Depression and Affect from Application Dependent Meta Knowledge

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2014, AVEC '14.

On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction

Patrick Thiam, Sascha Meudt, Markus Kächele, 2014, MA3HMI@INTERSPEECH.

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2011, ACII.

A New Multi-class Fuzzy Support Vector Machine Algorithm

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, ANNPR.

Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition

Markus Kächele, Friedhelm Schwenker, F. Schwenker, 2014, 2014 22nd International Conference on Pattern Recognition.

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Fusion Mappings for Multimodal Affect Recognition

Patrick Thiam, Markus Kächele, Friedhelm Schwenker, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems

Patrick Thiam, Sascha Meudt, Markus Kächele, 2017, Companion Technology.

Using unlabeled data to improve classification of emotional states in human computer interaction

Steffen Walter, F. Schwenker, Martin Schels, 2014, Journal on Multimodal User Interfaces.

Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2011, PSL.