On clinical applications, many magnetic resonance (MR) Images obtained directly by the instruments are not satisfied by doctors. For example, there are some noises and poor contra...
Di Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Da...
We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...
Rodolphe Jenatton, Guillaume Obozinski, Francis Ba...
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
—On-chip Physical Unclonable Functions (PUFs) are emerging as a powerful security primitive that can potentially solve several security problems. A PUF needs to be robust against...
Abhranil Maiti, Logan McDougall, Patrick Schaumont
We cast some new insights into solving the digital matting
problem by treating it as a semi-supervised learning
task in machine learning. A local learning based approach
and a g...