TY - JOUR
T1 - Learning the Information Divergence
AU - Dikmen, Onur
AU - Yang, Zhirong
AU - Oja, Erkki
N1 - VK: Oja, E.
PY - 2015
Y1 - 2015
KW - approximation methods
KW - brain modeling
KW - information divergence
KW - maximum likelihood
KW - maximum likelihood estimation
KW - medals
KW - nonnegative matrix factorization
KW - standards
KW - stochastic neighbor embedding
KW - stochastic processes
KW - tensile stress
KW - tweedie distribution
KW - approximation methods
KW - brain modeling
KW - information divergence
KW - maximum likelihood
KW - maximum likelihood estimation
KW - medals
KW - nonnegative matrix factorization
KW - standards
KW - stochastic neighbor embedding
KW - stochastic processes
KW - tensile stress
KW - tweedie distribution
KW - approximation methods
KW - brain modeling
KW - information divergence
KW - maximum likelihood
KW - maximum likelihood estimation
KW - medals
KW - nonnegative matrix factorization
KW - standards
KW - stochastic neighbor embedding
KW - stochastic processes
KW - tensile stress
KW - tweedie distribution
UR - http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2366144
U2 - 10.1109/TPAMI.2014.2366144
DO - 10.1109/TPAMI.2014.2366144
M3 - Article
SN - 0162-8828
VL - 37
SP - 1442
EP - 1454
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 7
ER -