Abstract. Data-parallel languages like OpenCL and CUDA are an important means to exploit the computational power of today’s computing devices. In this paper, we deal with two asp...
Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale si...
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
A n off-line hand-written Chinese character recognizer based on Contextual Vector Quantization (CVQ) supporting a vocabulary of 4,616 Chinese characters, alphanumerics and punctua...
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...