Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Analysis of execution traces plays a fundamental role in many program analysis approaches. Execution traces are frequently parametric, i.e., they contain events with parameter bind...
Program control dependence has substantial impact on applications such as dynamic information flow tracking and data lineage tracing (a technique tracking the set of inputs that ...
Tao Bao, Yunhui Zheng, Zhiqiang Lin, Xiangyu Zhang...
Spreadsheet tools are often used in business and private scenarios in order to collect and store data, and to explore and analyze these data by executing functions and aggregation...