Different from existing methods that separately deal with each single view, this paper proposes a discriminative Margin Sensitive Autoencoder MSAE framework for automated Alzheimer's disease AD diagnosis and accurate protein fold recognition. ...Extensive experimental results performed on the Alzheimer's Disease Neuroimaging Initiative ADNI datasets show that our MSAE can achieve superior performances for both binary and multi class classification in AD diagnosis, and evaluations on protein folds demonstrate that our method can achieve very encouraging performance on protein structure recognition, outperforming the state of the art methods....