Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
Over the past decade, motion capture data has become a popular research tool, and motion databases have grown exponentially. Indexing, querying, and retrieving data has thus become...
Charly Awad, Nicolas Courty, Kyle Duarte, Thibaut ...
Topological relationships between spatial objects are important for querying, reasoning, and indexing of data within spatial databases. These relationships are qualitative and resp...
Mark McKenney, Alejandro Pauly, Reasey Praing, Mar...
This paper proposes and solves a-autonomy and k-stops shortest path problems in large spatial databases. Given a source s and a destination d, an aautonomy query retrieves a sequen...