Text summarization is a data reduction process. The use of text summarization enables users to reduce the amount of text that must be read while still assimilating the core inform...
Lawrence H. Reeve, Hyoil Han, Saya V. Nagori, Jona...
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Packet classification continues to be an important challenge in network processing. It requires matching each packet against a database of rules and forwarding the packet accordi...
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...