Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
—Parallel netCDF (PnetCDF) is a popular library used in many scientific applications to store scientific datasets. It provides high-performance parallel I/O while maintaining ...
Kui Gao, Wei-keng Liao, Alok N. Choudhary, Robert ...
Typically there is a high coherence in data values between neighboring time steps in an iterative scientific software simulation; this characteristic similarly contributes to a co...
Jinzhu Gao, Han-Wei Shen, Jian Huang, James Arthur...