Found 22 results
Filters: Autor is Michał Cholewa  [Clear All Filters]
Głomb P, Cholewa M, Foszner P, Bularz J.  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, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023.
Głomb P, Cholewa M, Koral W, Madej A, Romaszewski M.  2023.  Detection of emergent leaks using machine learning approaches. Water Supply. 23(6)
Cholewa M, Sochan A.  2016.  Multi-sensor dataset for testing merge of Hyperspectral, HD and 3D cloud information for image recognition.
Głomb P, Cholewa M.  2016.  Performance of Interest Point Descriptors on Hyperspectral Images. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP.
Gawron P, Cholewa M, Kara K.  2016.  Rewolucja stanu - fantastyczne wprowadzenie do informatyki kwantowej. :128.
Romaszewski M, Głomb P, Cholewa M.  2016.  Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach. ISPRS Journal of Photogrammetry and Remote Sensing. 121:60-76.
Cholewa M, Głomb P.  2016.  Two Stage SVM Classification for Hyperspectral Data. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM.
Głomb P, Cholewa M.  2015.  Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. Artificial Intelligence and Soft Computing. 9120:391-401.
Cholewa M, Głomb P.  2011.  Gesture data modeling and classification based on critical points approximation. Advances in Intelligent and Soft Computing, 2011, Volume 95, Computer Recognition Systems 4,. 95:365–373.