Babak Hosseini
Babak Hosseini
Postdoctoral Researcher in Pattern Recognition in Embedded Systems, TU Dortmund
Verified email at - Homepage
Cited by
Cited by
Real time emotional control for anti-swing and positioning control of SIMO overhead traveling crane
MR Jamali, A Arami, B Hosseini, B Moshiri, C Lukas
International Journal of Innovative Computing, Information, and Control 4 (9), 2008
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation
B Hosseini, Babak, Montagne, Romain, Hammer
Data Science and Engineering 5 (2/2020), 126-139, 2020
Interpretable discriminative dimensionality reduction and feature selection on the manifold
B Hosseini, B Hammer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
Non-negative kernel sparse coding for the analysis of motion data
B Hosseini, F Hülsmann, M Botsch, B Hammer
Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016
Efficient metric learning for the analysis of motion data
B Hosseini, B Hammer
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
Confident kernel sparse coding and dictionary learning
B Hosseini, B Hammer
2018 IEEE International conference on data mining (ICDM), 1031-1036, 2018
Large-margin multiple kernel learning for discriminative features selection and representation learning
B Hosseini, B Hammer
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
Non-negative local sparse coding for subspace clustering
B Hosseini, B Hammer
Advances in Intelligent Data Analysis XVII: 17th International Symposium …, 2018
Interpretable multiple-kernel prototype learning for discriminative representation and feature selection
B Hosseini, B Hammer
Proceedings of the 28th ACM International Conference on Information and …, 2019
Non-negative kernel sparse coding for the classification of motion data
B Hosseini, F Hülsmann, M Botsch, B Hammer
arXiv preprint arXiv:1903.03891, 2019
Interpretable analysis of motion data
B Hosseini
Dissertation, Bielefeld, Universität Bielefeld, 2021, 2021
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series
B Hosseini, B Hammer
arXiv preprint arXiv:1903.01867, 2019
Non-negative Kernel Sparse Coding frameworks for Efficient Analysis of Motion Data
B Hosseini
Task-Driven Sparse Coding for Classification of Motion Data
B Hosseini, B Hammer
MiWoCI Workshop-2017, 13, 2017
Abstract Concept Learning Approach Based on Behavioural Feature Extraction
B Hosseini, MN Ahmadabadi, BN Araabi
2009 Second International Conference on Computer and Electrical Engineering …, 2009
Multiple-Kernel Dictionary Learning for Sparse Reconstruction of Unseen Multivariate Time-series
B Hosseini, B Hammer
Non-negative Kernel Sparse Coding for Efficient Analysis of Human Motions
B Hosseini, B Hammer
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