2,185 research outputs found
Feasibility of Neural Networks for Maritime Visual Detection on a Mobile Platform
Object detection through computer vision has traditionally been difficult to reliably implement due to various lighting conditions caused by weather and time of day. Any changes in conditions can be detrimental to the detector’s ability to accurately identify objects. A modern approach implements deep learning techniques to classify and train a neural network. While highly effective, this approach can be cumbersome and computationally intensive. This project will investigate the feasibility of using deep learning to detect, classify, and track objects in near real-time while being processed on a mobile platform. I will investigate the feasibility of these processes on a small embedded system, such as the NVIDIA Jetson TX1. I will investigate several promising algorithms such as Faster R-CNN, TensorBox, DetectNet, and YOLO. This research is beneficial because it will transition deep learning techniques developed primarily for research in a lab environment to a real-world situation in which high accuracy and fast processing are vital. The work solved through this research will greatly benefit platforms that require object detection capabilities, but do not have the space, budget, or power capabilities for large GPUs or GPU clusters
Communicative competence: A cross-cultural study of first conversations between strangers
Thesis (M.A.)--University of Kansas, Communication Studies, 1986
A False Sense of Security: Due Process Failures in Removal Proceedings
The article explores the reasons for the failure of due process rights afforded by aliens facing criminal prosecution for unauthorized return to the U.S. after prior removal proceedings. Topics discussed include Federal enforcement of the Immigration and Nationality Act, laws governing criminal prosecution and incarceration for previously removed aliens, and disclosure of the availability of judicial review to aliens facing removal from the U.S
Cold Comfort: Sec. 1983 as the Exclusive Damages Remedy for Violations of Sec. 1918 by State Actors
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