Stefano Ferrari

Summary

Affiliation: University of Milan
Country: Italy

Publications

  1. doi request reprint A hierarchical RBF online learning algorithm for real-time 3-D scanner
    Stefano Ferrari
    Department of Information Technology, Universita degli Studi di Milano, Crema, Italy
    IEEE Trans Neural Netw 21:275-85. 2010
  2. ncbi request reprint Reducing and filtering point clouds with enhanced vector quantization
    Stefano Ferrari
    Department of Information Technologies, University of Milano, Crema CR 26013, Italy
    IEEE Trans Neural Netw 18:161-77. 2007
  3. ncbi request reprint Multiscale approximation with hierarchical radial basis functions networks
    Stefano Ferrari
    Department of Information Technology, University of Milan, 26013 Crema CR, Italy
    IEEE Trans Neural Netw 15:178-88. 2004

Detail Information

Publications3

  1. doi request reprint A hierarchical RBF online learning algorithm for real-time 3-D scanner
    Stefano Ferrari
    Department of Information Technology, Universita degli Studi di Milano, Crema, Italy
    IEEE Trans Neural Netw 21:275-85. 2010
    ..However, these two approaches are not suitable to real-time online learning. Moreover, proof of convergence is also given...
  2. ncbi request reprint Reducing and filtering point clouds with enhanced vector quantization
    Stefano Ferrari
    Department of Information Technologies, University of Milano, Crema CR 26013, Italy
    IEEE Trans Neural Netw 18:161-77. 2007
    ..EVQ has been conceived as a general procedure, suited for VQ applications with large data sets whose data space has relatively low dimensionality...
  3. ncbi request reprint Multiscale approximation with hierarchical radial basis functions networks
    Stefano Ferrari
    Department of Information Technology, University of Milan, 26013 Crema CR, Italy
    IEEE Trans Neural Netw 15:178-88. 2004
    ..The results illustrate their power in denoising the original data, obtaining an effective multiscale reconstruction of better quality than that obtained by MRA...