@Article{Kybic-SigProc2011,
  IS = { zkontrolovano 14 Jan 2013 },
  UPDATE  = { 2011-12-29 },
  author = {Kybic, Jan and Vnu{\v{c}}ko, Ivan},
  title = {Approximate All Nearest Neighbor Search for High Dimensional
    Entropy Estimation for Image Registration},
  journal = {Signal Processing},
  year = {2012},
  month = {May},
  pages = {1302--1316},
  volume = {92},
  number = {5},
  if = {1.35},
  issn = {0165-1684},
  publisher = {Elsevier},
  project = {GACR P202/11/0111},
  doi = {10.1016/j.sigpro.2011.11.027},
  address = {Block 6 Westbrook Center, Milton Road, Cambridge, United Kingdom},
  url = {{ftp://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Kybic-SigProc2011.pdf}},
  annote = {Information theoretic criteria such as mutual information
    are often used as similarity measures for inter-modality image
    registration. We propose to use anearest neighbor based
    Kozachenko-Leonenko entropy estimator. Here we address the issue
    of determining a suitable all nearest neighbor (NN) search
    algorithm for this relatively specific task.},
  keywords={nearest neighbor search, entropy estimation},
  ut_isi = {000300204200011},
}