Motivated by the increasing need to analyze complex, uncertain multidimensional data this paper proposes probabilistic OLAP queries that are computed using probability distributio...
Igor Timko, Curtis E. Dyreson, Torben Bach Pederse...
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
Abstract: Efficient content-based similarity search in large multimedia databases requires efficient query processing algorithms for many practical applications. Especially in hi...
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
This paper introduces a dynamic layout optimization strategy to minimize the number of cycles spent in memory accesses in a cache-based memory environment. In this approach, a giv...
N. E. Crosbie, Mahmut T. Kandemir, Ibrahim Kolcu, ...