Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
Ontology alignment is regarded as one of the core tasks in many Web services. It is concerned with finding the correspondences between separate ontologies by identifying concepts ...
We examine opportunities for ubiquitous technologies in retail shopping, jewelry shopping in this case, to supplement the unique information needs inherent to physical trials of t...
Maurice Chu, Brinda Dalal, Alan Walendowski, Bo Be...
Object-oriented frameworks are a powerful reuse technique but they are also very complex and difficult to design. Framework’s design aims at separating the invariant aspects acr...