The growing availability of massive models and the inability of most existing visualization tools to work with them requires efficient new methods for massive mesh simplification. In this paper, we present a completely adaptive, virtual memory based simplification algorithm for large polygonal datasets. The algorithm is an enhancement of RSimp [2], enabling out of core simplification without re...

a study was carried out to evaluate job satisfaction of employers in a prison in 1997. the populations of study were all of staff as officiary person; contracthal and mission people. the results showed that 62.5% of the study population has beenemployed in this work because of their interest. but in the study time, 79.2% of them liked to leave their work. 73% of employers' families were not sat...

We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stopping criterion, new warm start options, and a set of inexpensive working set selection strategies that significantly reduce the number of iterations. For these working set strategies, we establish convergence rates that, ...

Scalable shared-memory multiprocessors that are designed as Cache-Only Memory Architectures (Coma) allow automatic replication and migration of data in the main memory. This enhances programmability by hopefully eliminating the need for data distribution strategies and page migration schemes. Recently, a variant of Coma called Simple Coma has been proposed as a lower-cost alternative to hardwar...