Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Efficient implementation of DSP applications is critical for many embedded systems. Optimising C compilers for embedded processors largely focus on code generation and instructio...
We introduce a framework for studying and solving a class of CSP formulations. The framework allows constraints to be expressed as linear and nonlinear equations, then compiles th...