The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Low-Complexity Regions (LCRs) of biological sequences are the main source of false positives in similarity searches for biological sequence databases. We consider the problem of ï...
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
An important question in multi-radio multi-channel and multi-hop networks is how to perform efficient network-wide broadcast. Currently almost all broadcasting protocols assume a s...
Modern databases allow mobile clients that subscribe to replicated data, to process the replica without requiring continuous connectivity, and to receive the updates while connecte...