We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse lin...
The subtyping test consists of checking whether a type t is a descendant of a type r (Agrawal et al. 1989). We study how to perform such a test efficiently, assuming a dynamic hie...
—The admission control problem is concerned with determining whether a new task may be accepted by a system consisting of a set of running tasks, such that the already admitted a...
Alejandro Masrur, Samarjit Chakraborty, Georg F&au...
A powerful combinational path sensitization engine is required for the efficient implementation of tools for test pattern generation, timing analysis, and delay fault testing. Path...