In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
In this paper, we study the effects of manipulating the architected direction of conditional branches. Through the use of statistical sampling, we find that about 40% of all dyna...
— Low-density parity-check convolutional codes offer the same good error-correcting performance as low-density parity-check block codes while having the ability to encode and dec...
Stephen Bates, L. Gunthorpe, Ali Emre Pusane, Zhen...
We search for assignments of numbers to the amino acids (property codes) that maximize the autocorrelation function signal in given protein sequence data by an iterative method. Ou...
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...