Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
While text versioning was definitely a part of the original hypertext concept [21, 36, 44], it is rarely considered in this context today. Still, we know that revision control un...
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
— Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The gr...
Michael DeLorimier, Nachiket Kapre, Nikil Mehta, D...
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...