This paper describes a method for developing dimensional models from traditional Entity Relationship models. This can be used to design data warehouses and data marts based on ent...
In this work an R-tree variant, which uses minimum volume covering ellipsoids instead of usual minimum bounding rectangles, is presented. The most significant aspects, which dete...
This paper presents a new scheme for acquiring 3D kinematic structure and motion from time-series volume data, in particular, focusing on human body. Our basic strategy is to first...
Bulk memory copies incur large overheads such as CPU stalling (i.e., no overlap of computation with memory copy operation), small register-size data movement, cache pollution, etc...
Karthikeyan Vaidyanathan, Lei Chai, Wei Huang, Dha...
In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...