Przemyslaw Glomb
Orcid: 0000-0002-0215-4674
According to our database1,
Przemyslaw Glomb
authored at least 41 papers
between 2005 and 2023.
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Bibliography
2023
Proceedings of the International Wireless Communications and Mobile Computing, 2023
A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series.
Proceedings of the 23rd Conference Information Technologies, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
2022
ACM Trans. Sens. Networks, November, 2022
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks.
CoRR, 2022
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022
2021
2020
Sensors, 2020
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling.
Remote. Sens., 2020
2019
A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification.
IEEE Geosci. Remote. Sens. Lett., 2019
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks.
CoRR, 2019
2018
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images.
CoRR, 2018
Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data.
Proceedings of the Computer and Information Sciences - 32nd International Symposium, 2018
2017
Quantum Inf. Process., 2017
2016
Parameter Estimation for HOSVD-based Approximation of Temporally Coherent Mesh Sequences.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016
2015
Proceedings of the Artificial Intelligence and Soft Computing, 2015
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015
2014
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
2013
Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence.
Pattern Recognit. Lett., 2013
2012
Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition.
Proceedings of the Artificial Intelligence and Soft Computing, 2012
2011
The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data.
Proceedings of the Computer Recognition Systems 4, 2011
Proceedings of the Computer Recognition Systems 4, 2011
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data
CoRR, 2011
Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011
Proceedings of the Man-Machine Interactions 2, 2011
Proceedings of the Gesture and Sign Language in Human-Computer Interaction and Embodied Communication, 2011
Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet.
Proceedings of the Computer Networks - 18th Conference, 2011
2009
Proceedings of the Computer Recognition Systems 3, 2009
Proceedings of the Computer Recognition Systems 3, 2009
Image Coding with Contourlet/Wavelet Transforms and SPIHT Algorithm - An Experimental Study.
Proceedings of the IMAGAPP 2009, 2009
2008
Proceedings of the Computer Recognition Systems 2, 2008
2005
Analysis of fGn and http Requests Traces Using Localized Multiscale H Parameter Estimation.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005