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20172026
most citedA comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae

16 citations · 94 across the 59 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 2 cited

Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions

Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter +5

Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO ("You Only Look Once"), has b…

cs.CV2018★ 7 cited

2018 Low-Power Image Recognition Challenge

Sergei Alyamkin, Matthew Ardi, Achille Brighton +38

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technolog…

cs.SE2018★ 1 cited

Tests as Maintainable Assets Via Auto-generated Spies: A case study involving the Scala collections library's Iterator trait

Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal

In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy d…

cs.SE2018★ 5 cited

Metrics Dashboard: A Hosted Platform for Software Quality Metrics

George K. Thiruvathukal, Shilpika, Nicholas J. Hayward +1

There is an emerging consensus in the scientific software community that progress in scientific research is dependent on the "quality and accessibility of software at all levels" (…

cs.DC2018

Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud

Ahmed S. Kaseb, Bo Fu, Anup Mohan +3

Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of appli…

stat.AP2018★ 16 cited

A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae

Gregory J Matthews, Juliet K. Brophy, Maxwell P. Luetkemeier +2

This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically…