In this paper, we show that over the binary erasure channel, Quasi-Cyclic LDPC codes can efficiently accommodate the hybrid iterative/ML decoding. We demonstrate that the quasicycl...
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
—In this paper, we present a new sketch-based system — KnitSketch, to improve the efficiency of process planning for knitting garments at an early design stage. The KnitSketch...
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...