Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
From an image we construct an invertible orientation score, which provides an overview of local orientations in an image. This orientation score is a function on the group SE(2) of...
For about ten years now, Bo K˚agstr¨om’s Group in Umea, Sweden, Jerzy Wa´sniewski’s Team at Danish Technical University in Lyngby, Denmark, and I at IBM Research in Yorktown...
Series Parallel (SP) digraphs are a common method of representing instructions with partially ordered actions, but not always an ideal one, as relationships among groups of action...
Recently, several public key exchange protocols based on symbolic computation in non-commutative (semi)groups were proposed as a more efficient alternative to well established prot...