We investigate a transactional memory runtime system providing scaling and strong consistency for generic C++ and SQL applications on commodity clusters. We introduce a novel page...
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
In this paper, we investigate methods for improving the hit rates in the first level of memory hierarchy. Particularly, we propose victim cache structures to reduce the number of ...
Gokhan Memik, Glenn Reinman, William H. Mangione-S...
As massive document repositories and knowledge management systems continue to expand, in proprietary environments as well as on the Web, the need for duplicate detection becomes i...
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...