While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow ...
Aaron E. Lefohn, Joshua E. Cates, Ross T. Whitaker
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Instruction Set Randomization (ISR) has been proposed as a form of defense against binary code injection into an executing program. One proof-of-concept implementation is Randomiz...
We present Vector LLVA, a virtual instruction set architecture (VISA) that exposes extensive static information about vector parallelism while avoiding the use of hardware-speci...
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...