Computer algorithms for scheduling and related problems in the theory of graphs / Selim, Said

algorithms to the point cloud. The result is a highly adjustable, generalized algorithm to convert raw point

, tensor decompositions are useful in machine learning, chemometrics, computer vision, graph analysis, and

. There are three different numerical algorithms namely the explicit, implicit, and hybrid schemes that

Fields such as Computer Vision and Natural Language Processing have a high applicability of Machine

algorithms, various machine learning algorithms including deep neural networks, and optimal state estimator

arbitrarily "draped" over the underlying processor fabric. Logically, this allows the computer architecture of

optimization problems. This thesis discusses experimental results for several quantum algorithms performed on a

In recent years, the field of computer vision has seen a series of major advances, made possible by

This dissertation explores computer vision algorithms to reconstruct 3D models from satellite

All the algorithms we present are evaluated on various benchmarks that are computer models of

-scale real-world datasets from different applications including computer vision, social media, health care