Przemysław Głomb


Ontology type: schema:Person     


Person Info

NAME

Przemysław

SURNAME

Głomb

Publications in SciGraph latest 50 shown

  • 2018 Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data in COMPUTER AND INFORMATION SCIENCES
  • 2017-04 Quantum hidden Markov models based on transition operation matrices in QUANTUM INFORMATION PROCESSING
  • 2015 Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization in ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING
  • 2014 Surface Mixture Models for the Optimization of Object Boundary Representation in ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING
  • 2012 Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition in ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING
  • 2012 Choosing and Modeling the Hand Gesture Database for a Natural User Interface in GESTURE AND SIGN LANGUAGE IN HUMAN-COMPUTER INTERACTION AND EMBODIED COMMUNICATION
  • 2011 Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models in HUMAN-COMPUTER INTERACTION – INTERACT 2011
  • 2011 Eigengestures for Natural Human Computer Interface in MAN-MACHINE INTERACTIONS 2
  • 2011 Gesture Data Modeling and Classification Based on Critical Points Approximation in COMPUTER RECOGNITION SYSTEMS 4
  • 2011 The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data in COMPUTER RECOGNITION SYSTEMS 4
  • 2011 Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet in COMPUTER NETWORKS
  • 2009 Modeling of Internet 3D Traffic Using Hidden Markov Models in INTERNET – TECHNICAL DEVELOPMENT AND APPLICATIONS
  • 2009 3D Mesh Approximation Using Vector Quantization in COMPUTER RECOGNITION SYSTEMS 3
  • 2009 Detection of Interest Points on 3D Data: Extending the Harris Operator in COMPUTER RECOGNITION SYSTEMS 3
  • 2007 Local Analysis of Stereo Image Pairs with Polynomial Series in COMPUTER RECOGNITION SYSTEMS 2
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