Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Parallel programming has proven to be an effective technique to improve the performance of computationally intensive applications. However, writing parallel programs is not easy, ...
Roberto Di Cosmo, Zheng Li, Susanna Pelagatti, Pie...
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to...
Software internationalization is often necessary when distributing software applications to different regions around the world. In many cases, developers often do not internationa...
Xiaoyin Wang, Lu Zhang, Tao Xie, Hong Mei, Jiasu S...