Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
—In this paper, we present an iterative algorithm for channel complex gains estimation with inter-sub-carrierinterference (ICI) reduction in orthogonal-frequency-divisionmultiple...
We present a practical and scalable method for flow- and contextsensitive (FSCS) pointer analysis for C programs. Our method analyzes the pointers in a program level by level in ...
Background: Researchers wishing to conduct genetic association analysis involving single nucleotide polymorphisms (SNPs) or haplotypes are often confronted with the lack of user-f...