Glomb, P.[Przemyslaw]
* 2011: Choosing and Modeling the Hand Gesture Database for a Natural User Interface
* 2013: Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence
* 2014: Improving the quality of mesh simplification with texture saliency measurement
* 2014: Natural hand gestures for human identification in a Human-Computer Interface
* 2016: Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach
* 2020: Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling
* 2022: Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation
Includes: Glomb, P.[Przemyslaw] Glomb, P.
7 for Glomb, P.
Glombitza, G.
* 2002: ROPES: a semiautomated segmentation method for accelerated analysis of three-dimensional echocardiographic data