1 code implementation • 9 Dec 2021 • Jalil Nourmohammadi Khiarak, Samaneh Salehi Nasab, Farhang Jaryani, Seyed Naeim Moafinejad, Rana Pourmohamad, Yasin Amini, Morteza Noshad
Further, we have introduced a new dataset, called KartalOl, to better evaluate detectors in iris recognition scenarios.
no code implementations • 23 Jul 2020 • Morteza Noshad, Ivana Jankovic, Jonathan H. Chen
The growing demand for key healthcare resources such as clinical expertise and facilities has motivated the emergence of artificial intelligence (AI) based decision support systems.
2 code implementations • 16 Sep 2019 • Morteza Noshad, Li Xu, Alfred Hero
In this problem the objective is to establish statistically consistent estimates of the Bayes misclassification error rate without having to learn a Bayes-optimal classifier.
no code implementations • 1 Oct 2018 • Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero
We derive a bound on the convergence rate for the Friedman-Rafsky (FR) estimator of the HP-divergence, which is related to a multivariate runs statistic for testing between two distributions.
1 code implementation • 27 Jan 2018 • Morteza Noshad, Yu Zeng, Alfred O. Hero III
To the best of our knowledge EDGE is the first non-parametric MI estimator that can achieve parametric MSE rates with linear time complexity.
no code implementations • 17 Feb 2017 • Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Considering the $k$-nearest neighbor ($k$-NN) graph of $Y$ in the joint data set $(X, Y)$, we show that the average powered ratio of the number of $X$ points to the number of $Y$ points among all $k$-NN points is proportional to R\'{e}nyi divergence of $X$ and $Y$ densities.
no code implementations • 13 Sep 2016 • Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information theoretic measures (e. g. the Kullback Liebler divergence and Shannon mutual information) have been used for exploring possibly nonlinear multivariate dependencies in high dimension.
no code implementations • 6 May 2016 • Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad
However, this reduction can be larger than only one order of magnitude in alphabet size.