We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...
We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
Financial and commercial applications use decimal data and spend most of their time in decimal arithmetic. Software implementation of decimal arithmetic is typically at least 100 ...
In this paper, we present and analyze a novel decoder architecture for LDPC convolutional codes (LDPCCCs). The proposed architecture enables high throughput and can be programmed ...
Marcel Bimberg, Marcos B. S. Tavares, Emil Mat&uac...
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representationbui...