Titlebook: International Conference on Applications and Techniques in Cyber Security and Intelligence; Applications and Tec Jemal Abawajy,Kim-Kwang Ra

agnostic

The Fast Lane Detection of Road Using RANSAC Algorithm, important part of the system. Fast and stable lane detection is a prerequisite for Lane detection under complex background. In this paper, we propose a new lane detection method through a bird’s eye view maps and modified RANSAC (random sampling) based on inspiration from the road feature extractio

THE

Face Detection and Description Based on Video Structural Description Technologies,face of the positive view. Alternative method, the image of face angle to the direction of knowledge can improve performance based on non-frontal view technology. Human face location detection in the city plays an important role in the continuous application of the surveillance video, such as face r

Forage飼料

Cloud Based Image Retrieval Scheme Using Feature Vector,eal of storage space. In order to protect privacy of outsourcing information, customer information must be encrypted, and redaction. However, it is difficult to search for information in the encrypted file. In this paper, we study the encrypted image retrieval technique of outsourcing. An image retr

Nonflammable

Research on Security Outsourcing Privacy in Cloud Environments,the emergence of large data poses new challenges to traditional data security. This project mainly focuses on data security in the cloud computing environment outsourcing and retrieval, the key technology for solving the outsourcing of data processing, saving local computing resources, reduce comput

起波瀾

Irascible

Research on the Architecture of Road Traffic Accident Analysis Platform Based on Big Data,er presents a road traffic accident analysis platform based on big data technology. It discusses the key technologies, including content data processing, security, and data analysis. Improvement on public security traffic management can be expected.

事先無準備

爵士樂

Deep Neural Network with Limited Numerical Precision,aper trains convolutional neural network with three different data formats (float point, fixed point and dynamic fixed point) on two different datasets (MNIST, CIFAR-10). For each data set and each data format, the paper assesses the impact of the multiplication accuracy to the error rate at the end

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