dr hab. inż. Przemysław Głomb

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0000-0002-0215-4674

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profesor instytutu
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Publikacje
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2017

26. Cholewa, M., P. Gawron, P. Głomb, and D. Kurzyk, "Quantum hidden Markov models based on transition operation matrices", Quantum Information Processing, vol. 16, pp. 101, 2017.

2016

27. Romaszewski, M., P. Głomb, and M. Cholewa, "Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 121, pp. 60 - 76, 2016.
28. Romaszewski, M., and P. Głomb, "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, 2016.
29. Cholewa, M., and P. Głomb, "Two Stage SVM Classification for Hyperspectral Data", Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 2016.
30. Głomb, P., and M. Cholewa, "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, 2016.

2015

31. Głomb, P., and M. Cholewa, "Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization", Artificial Intelligence and Soft Computing, vol. 9120: Springer International Publishing, pp. 391-401, 2015.
32. Domino, K., P. Głomb, and Z. Łaskarzewski, "Classification of LPG clients using the Hurst exponent and the correlation coeficient", Theoretical and Applied Informatics, vol. 27, issue 1, pp. 13–24, 2015.

2014

33. Głomb, P., and A. Sochan, "Surface Mixture Models for the Optimization of Object Boundary Representation", Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science 8467, pp. 703–714, 2014.
34. Romaszewski, M., P. Głomb, and P. Gawron, "Natural hand gestures for human identification in a Human-Computer Interface", Image Processing Theory Tools and Applications (IPTA), 2014 4th International Conference on: IEEE, pp. 404–409, 10, 2014.

2013

35. Cholewa, M., P. Głomb, S. Opozda, M. Romaszewski, A. Sochan, M. Kosiedowski, E. Kuśmierek, A. Bęben, P. Krawiec, and A. Stroiński, "Aplikacje Sieci Świadomej Treści", Inżynieria Internetu przyszłości część 2: Oficyna Wydawnicza PW, 2013.

2012

36. Cholewa, M., and P. Głomb, "Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence", Pattern Recognition Letters, 2012.
37. Kosiedowski, M., E. Kuśmierek, A. Stroiński, M. Cholewa, P. Głomb, S. Opozda, M. Romaszewski, A. Sochan, A. Bęben, and P. Krawiec, "Aplikacje sieci świadomej treści", Przegląd telekomunikacyjny, no. 8-9, pp. 1491–1502, 2012.
38. Głomb, P., M. Romaszewski, S. Opozda, and A. Sochan, "Choosing and Modeling the Hand Gesture Database for a Natural User Interface", Gesture and Sign Language in Human-Computer Interaction and Embodied Communication, Lecture Notes in Artificial Intelligence: Springer Berlin Heidelberg, 2012.
39. Blachnik, M., and P. Głomb, "Do we need complex models for gestures? A comparison of data representation and preprocessing methods for hand gesture recognition", Artificial Intelligence and Soft Computing Lecture Notes in Computer Science 7267: Springer Berlin Heidelberg, pp. 477–485, 2012.

2011

40. Romaszewski, M., and P. Głomb, "The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data", Computer Recognition Systems, vol. 4: Springer, pp. 365–373, 2011.
41. Sochan, A., P. Głomb, K. Skabek, M. Romaszewski, and S. Opozda, "Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet", Computer Networks 2011. Communications in Computer and Information Science 160., pp. 459–464, 2011.
42. Romaszewski, M., P. Gawron, and P. Głomb, Towards a natural gesture interface: LDA-based gesture separability, 2011.
43. Głomb, P., M. Romaszewski, A. Sochan, and S. Opozda, "Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models", Lecture Notes in Computer Science, Human-Computer Interaction – INTERACT, vol. 6949, 2011.
44. Głomb, P., M. Romaszewski, S. Opozda, and A. Sochan, "Choosing and modeling hand gesture database for natural user interface", GW 2011: the 9th International Gesture in Embodied Communication and Human-Computer InteractionWorkshop, 2011.
45. Gawron, P., P. Głomb, J. Miszczak, and Z. Puchała, "Eigengestures for natural human computer interface", Man-Machine Interactions 2, Berlin / Heidelberg, Springer, pp. 49–56, 2011.
46. Cholewa, M., and P. Głomb, "Gesture data modeling and classification based on critical points approximation", Advances in Intelligent and Soft Computing, 2011, Volume 95, Computer Recognition Systems 4,, vol. 95, pp. 365–373, 2011.

2010

47. Nowak, S., and P. Głomb, REMOTE VIRTUAL REALITY: EXPERIMENTAL INVESTIGATIONSOF PROGRESSIVE 3D MESH TRANSMISSION IN IP NETWORKS, 2010.
48. Nowak, S., J. Domańska, M. Nowak, and P. Głomb, "Progressive 3D meshes transmission: traffic generating and simulation evaluation", Theoretical and Applied Informatics, vol. 22, no. 4, pp. 247–259, 11, 2010.

2009

49. Głomb, P., and K. Skabek, "Laboratory for the exploration of virtual 3D environments", Annual Report 2009, pp. 57–59, 2009.
50. Głomb, P., "Detection of interest points on 3D data: extending the Harris operator", 6th International Conference on Computer Recognition Systems, 2009.

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Historia zmian

Data aktualizacji: 10/06/2022 - 10:42; autor zmian: Łukasz Zimny (lzimny@iitis.pl)