Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
The similarity search has become a fundamental computational task in many applications. One of the mathematical models of the similarity – the metric space – has drawn attenti...
: An ontology of general science knowledge (SKIo) is developed to enhance machine representation and use of scientific theories in emerging e-Science Knowledge Infrastructures. SKI...
Service Oriented EXtensible Modeling and Simulation Supporting Environment Architecture (SO-XMSSEA) is presented based on XMSF thinking and the new technology development of web s...
Courses in Relational Databases largely use a domain-specific design approach different from that used in the rest of the curriculum. Use of the Unified Process, UML, and Design P...