Our productivity centered performance tuning framework for HPC applications comprises of three main components: (1) a versatile source code, performance metrics, and performance d...
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main dif...
Abstract. Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been d...
LTL cannot express the whole class of ω-regular languages and several extensions have been proposed. Among them, Quantified propositional Linear Temporal Logic (QLTL), proposed b...
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...