As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...
Multi-tensor models provide information about the fiber bundles underlying characteristics and are of great interest for clinical applications. In this work we propose both a nov...
: We review the singular value decomposition (SVD) and discuss some lesser-known applications of it that we find particularly interesting. We also discuss generalizations of the S...
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...