We propose a novel method for quasi-periodic time series patterns matching, through signature exchange between the two patterns. The signature is obtained through sorting of the t...
We present a fast compression and decompression technique for natural language texts. The novelty is that the exact search can be done on the compressed text directly, using any k...
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
The usefulness of the hit-miss transform (HMT) and related transforms for pattern matching in document image applications is examined. Although the HMT is sensitive to the types o...
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
In a UML model, different aspects of a system are covered by different types of diagrams and this bears the risk that an overall system specification becomes barely tractable by t...