Michal Cholewa

According to our database, Michal Cholewa authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials.

Katarzyna Kolodziej, Michal Cholewa, Przemyslaw Glomb, Wojciech Koral, Michal Romaszewski

CoRR, 2024

'Just One More Sensor is Enough' - Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors.

Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb, Katarzyna Kolodziej, Michal Gorawski, Jakub Koral, Wojciech Koral, Andrzej Madej, Kryspin Musiol

CoRR, 2024

Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models.

Michal Romaszewski, Przemyslaw Sekula, Przemyslaw Glomb, Michal Cholewa, Katarzyna Kolodziej

CoRR, 2024

2023

Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification.

Przemyslaw Glomb, Michal Cholewa, Pawel Foszner, Jakub Bularz

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation.

Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

Heuristical choice of SVM parameters.

Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb

CoRR, 2021

Stable training of autoencoders for hyperspectral unmixing.

Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski

CoRR, 2021

2020

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.

Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa

Sensors, 2020

A Dataset for Evaluating Blood Detection in Hyperspectral Images.

Michal Romaszewski, Przemyslaw Glomb, Arkadiusz Sochan, Michal Cholewa

CoRR, 2020

2019

A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification.

Michal Cholewa, Przemyslaw Glomb, Michal Romaszewski

IEEE Geosci. Remote. Sens. Lett., 2019

2018

Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images.

Przemyslaw Glomb, Krzysztof Domino, Michal Romaszewski, Michal Cholewa

CoRR, 2018

Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data.

Michal Romaszewski, Przemyslaw Glomb, Michal Cholewa

Proceedings of the Computer and Information Sciences - 32nd International Symposium, 2018

2017

Quantum hidden Markov models based on transition operation matrices.

Michal Cholewa, Piotr Gawron, Przemyslaw Glomb, Dariusz Kurzyk

Quantum Inf. Process., 2017

2016

Performance of Interest Point Descriptors on Hyperspectral Images.

Przemyslaw Glomb, Michal Cholewa

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Two Stage SVM Classification for Hyperspectral Data.

Michal Cholewa, Przemyslaw Glomb

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization.

Przemyslaw Glomb, Michal Cholewa

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Relation of Average Error in Prolate Spheroidal Wave Functions Algorithm for Bandlimited Functions Approximation to Radius of Information.

Michal Cholewa

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Natural human gestures classification using multisensor data.

Michal Cholewa, Przemyslaw Glomb

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Classification of Dynamic Sequences of 3D Point Clouds.

Michal Cholewa, Przemyslaw Sporysz

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.

Michal Cholewa, Przemyslaw Glomb

Pattern Recognit. Lett., 2013

2011

Gesture Data Modeling and Classification Based on Critical Points Approximation.

Michal Cholewa, Przemyslaw Glomb

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

Michal Cholewa, Przemyslaw Glomb

CoRR, 2011