TY - GEN
T1 - Entropic quadtrees and mining mars craters
AU - Vetro, Rosanne
AU - Simovici, Dan A.
PY - 2010
Y1 - 2010
N2 - This paper introduces entropic quadtrees, which are structures derived from quadtrees by allowing nodes to split only when nodes point to sufficiently diverse sets of objects. Diversity is evaluated using entropy attached to the histograms of the values of features for sets designated by the nodes. As an application, we used entropic quadtrees to locate craters on the surface of Mars, represented by circles in digital images.
AB - This paper introduces entropic quadtrees, which are structures derived from quadtrees by allowing nodes to split only when nodes point to sufficiently diverse sets of objects. Diversity is evaluated using entropy attached to the histograms of the values of features for sets designated by the nodes. As an application, we used entropic quadtrees to locate craters on the surface of Mars, represented by circles in digital images.
UR - https://www.scopus.com/pages/publications/77954884418
UR - https://www.scopus.com/pages/publications/77954884418#tab=citedBy
U2 - 10.1007/978-3-642-14400-4_17
DO - 10.1007/978-3-642-14400-4_17
M3 - Conference contribution
AN - SCOPUS:77954884418
SN - 3642143997
SN - 9783642143991
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 210
EP - 221
BT - Advances in Data Mining
T2 - 10th Industrial Conference on Advances in Data Mining, ICDM 2010
Y2 - 12 July 2010 through 14 July 2010
ER -