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When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
Lian Yan, Robert H. Dodier, Michael Mozer, Richard...
Images of the MRI signal intensity are normally constructed by taking the magnitude of the complex-valued data. This results in a biased estimate of the true signal intensity. We c...
M. Dylan Tisdall, M. Stella Atkins, R. A. Lockhart
A method to estimate the magnitude MR data from several noisy samples is presented. It is based on the Linear Minimum Mean Squared Error (LMMSE) estimator for the Rician noise mode...
This paper proposes several low complexity algorithmic modifications to the SPIHT (Set Partitioning in Hierarchical Trees) image coding method of [3]. The modifications exploit un...