We review advancements in deep learning techniques for complete intersection Calabi–Yau
(CICY) 3-and 4-folds, with the aim of understanding better how to handle algebraic …

We continue earlier efforts in computing the dimensions of tangent space cohomologies of
Calabi–Yau manifolds using deep learning. In this paper, we consider the dataset of all …

Abstract Person re-identification (ReId), a crucial task in surveillance, involves matching
individuals across different camera views. The advent of Deep Learning, especially …

Multi-target multi-camera tracking is an important research topic in intelligent surveillance to
achieve re-identification (Re-ID) of moving targets across different cameras. However, Re-ID …

Person reidentification (re-ID) has been receiving increasing attention in recent years due to
its importance for both science and society. Machine learning (particularly Deep Learning …

Person re-identification (Re-ID) is the recognition of the same person in different camera
views. Because of the existence of highly similar persons and great differences of the same …

In the monitoring scene, parameters of different cameras are vary greatly, which makes
Person re-identification (Re-ID) tasks extremely susceptible to factors such as scale, blur …

The task of re-identifying the same person in several video/image sequences obtained from
multiple camera viewpoints and angles is known as person Re-Identification (Re-ID). Person …

Robust and comprehensive modelling of targets is the key to successful person re‐
identification. However, some useful information may be ignored, since CNNs tend to learn …

The goal of this thesis is to review and investigate recent applications of machine learning to
problems in string theory. String theory, the leading candidate for a unification of gravity and …