This paper presents a header compression algorithm that unlike previous protocols is capable of compressing MAC headers in a multiple-access (shared) channel. Previous schemes coul...
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
Current logic synthesis techniques are ineffective for arithmetic circuits. They perform poorly for XOR-dominated circuits, and those with a high fan-in dependency between inputs ...
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...