Goto

Collaborating Authors

 brain disorder diagnosis


Fox News Entertainment Newsletter: Kris Jenner compared to daughters, 'Mormon Wives' stars' torn friendships

FOX News

Kris Jenner gets compared to her daughters with new look; "Mormon Wives" stars' say fame tore their friendships apart. Welcome to the Fox News Entertainment Newsletter. Billy Joel cancels all shows after a rare brain disorder diagnosis. MUSIC ON HOLD - Billy Joel cancels all concerts due to brain disorder diagnosis. ROCK TRAGEDY - Music exec and rock drummer among those killed in San Diego plane crash.


Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis

Neural Information Processing Systems

A wide spectrum of discriminative methods is increasingly used in diverse applications for classification or regression tasks. However, many existing discriminative methods assume that the input data is nearly noise-free, which limits their applications to solve real-world problems. Particularly for disease diagnosis, the data acquired by the neuroimaging devices are always prone to different sources of noise. Robust discriminative models are somewhat scarce and only a few attempts have been made to make them robust against noise or outliers. These methods focus on detecting either the sample-outliers or feature-noises.


Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis

Adeli-Mosabbeb, Ehsan, Thung, Kim-Han, An, Le, Shi, Feng, Shen, Dinggang

Neural Information Processing Systems

A wide spectrum of discriminative methods is increasingly used in diverse applications for classification or regression tasks. However, many existing discriminative methods assume that the input data is nearly noise-free, which limits their applications to solve real-world problems. Particularly for disease diagnosis, the data acquired by the neuroimaging devices are always prone to different sources of noise. Robust discriminative models are somewhat scarce and only a few attempts have been made to make them robust against noise or outliers. These methods focus on detecting either the sample-outliers or feature-noises.