Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
While usability methods such as user studies and inspections can reveal a wide range of problems, they do so for only a subset of an application’s features and states. We presen...
Phishers are fraudsters that mimic legitimate websites to steal user’s credential information and exploit that information for identity theft and other criminal activities. Vari...
Eric Lin, Saul Greenberg, Eileah Trotter, David Ma...