Computationally Efficient Stochastic Algorithm Supported by Deterministic Technique: A Futuristic Approach

A computationally efficient superresolution image reconstruction algorithm

Superresolution reconstruction produces a high-resolution image from a set of low-resolution images. Previous iterative methods for superresolution had not adequately addressed the computational and numerical issues for this ill-conditioned and typically underdetermined large scale problem. We propose efficient block circulant preconditioners for solving the Tikhonov-regularized superresolution...

A Deterministic Approach to Stochastic Approximation

A Computationally Efficient FPTAS for Convex Stochastic Dynamic Programs

We propose a computationally efficient Fully Polynomial-Time Approximation Scheme(FPTAS) to compute an approximation with arbitrary precision of the value function of convexstochastic dynamic programs, using the technique of K-approximation sets and functions introducedby Halman et al. (2009). This paper deals with the convex case only, and it has the following con-tributions: F...

A Computationally Efficient Framework for 3D Warping Technique

Image-based rendering (IBR) techniques produce realistic-looking 3D graphics at a relatively low cost. The 3D image warping technique is particularly appropriate for such an implementation, because it requires a relatively small input data set. In this paper, we propose a computationally efficient framework for 3D image warping technique. This includes a function that maps the visible points in...

Autobot Evolution: A Futuristic approach

SCABOR is an approach for the 3-D lane detection and autonomous driving. Its main attribute is to diagnose the metrology of roads. It has a wide significance in determining the basic structure, the presence of humps and dips and gives a clear and cache information of the way .Our view on this paper is to apply SCABOR along with the application of the GLOBAL POSITIONING SYSTEM in autonomous driv...