Przemysław Głomb
Przemysław Głomb
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Zweryfikowany adres z iitis.pl - Strona główna
Cytowane przez
Cytowane przez
Automatic pigment identification from hyperspectral data
B Grabowski, W Masarczyk, P Głomb, A Mendys
Journal of Cultural Heritage 31, 1-12, 2018
Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach
M Romaszewski, P Głomb, M Cholewa
ISPRS Journal of Photogrammetry and Remote Sensing 121, 60-76, 2016
Detection of interest points on 3D data: Extending the harris operator
P Głomb
Computer Recognition Systems 3, 103-111, 2009
Application of hyperspectral imaging and machine learning methods for the detection of gunshot residue patterns
P Głomb, M Romaszewski, M Cholewa, K Domino
Forensic science international 290, 227-237, 2018
Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence
M Cholewa, P Głomb
Pattern Recognition Letters 34 (5), 574-579, 2013
Choosing and modeling the hand gesture database for a natural user interface
P Głomb, M Romaszewski, S Opozda, A Sochan
Gesture and Sign Language in Human-Computer Interaction and Embodied …, 2012
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks
K Książek, M Romaszewski, P Głomb, B Grabowski, M Cholewa
Sensors 20 (22), 6666, 2020
A dataset for evaluating blood detection in hyperspectral images
M Romaszewski, P Głomb, A Sochan, M Cholewa
Forensic Science International 320, 110701, 2021
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling
W Masarczyk, P Głomb, B Grabowski, M Ostaszewski
Remote Sensing 12 (16), 2653, 2020
Quantum hidden Markov models based on transition operation matrices
M Cholewa, P Gawron, P Głomb, D Kurzyk
Quantum Information Processing 16, 1-19, 2017
Unsupervised parameter selection for gesture recognition with vector quantization and hidden markov models
P Głomb, M Romaszewski, A Sochan, S Opozda
Human-Computer Interaction–INTERACT 2011: 13th IFIP TC 13 International …, 2011
A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification
M Cholewa, P Głomb, M Romaszewski
IEEE Geoscience and Remote Sensing Letters 16 (3), 467-471, 2019
Eigengestures for natural human computer interface
P Gawron, P Głomb, JA Miszczak, Z Puchała
Man-Machine Interactions 2, 49-56, 2011
3d mesh approximation using vector quantization
M Romaszewski, P Głomb
Computer Recognition Systems 3, 71-78, 2009
Natural hand gestures for human identification in a Human-Computer Interface
M Romaszewski, P Głomb, P Gawron
2014 4th International Conference on Image Processing Theory, Tools and …, 2014
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
B Grabowski, P Głomb, W Masarczyk, P Pławiak, Ö Yıldırım, UR Acharya, ...
arXiv preprint arXiv:2210.14253, 2022
Natural human gestures classification using multisensor data
M Cholewa, P Głomb
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 499-503, 2015
Analysis of fGn and http requests traces using localized multiscale H parameter estimation
P Glomb
2005 Symposium on Applications and the Internet Workshops (SAINT 2005 …, 2005
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation
K Książek, P Głomb, M Romaszewski, M Cholewa, B Grabowski, K Búza
International Conference on Image Analysis and Processing, 391-403, 2022
Anomaly detection in hyperspectral remote sensing images
P Głomb, M Romaszewski
Hyperspectral Remote Sensing, 45-66, 2020
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