Many applications written in C allocate memory blocks for their major data structures from the heap space at runtime. The analysis of heap-oriented pointers in such programs is cr...
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
Background: An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types...
Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition....