In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Many Built-In Self Test pattern generators use Linear Feedback Shift Registers (LFSR) to generate test sequences. In this paper, we address the generation of deterministic pairs o...
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
- Aligning specific sequences against other known sequences in a database is a central aspect of bioinformatics. New experimental data being added continuously to these databases n...