K
Kent Gauen
Researcher at Purdue University
Publications - 11
Citations - 307
Kent Gauen is an academic researcher from Purdue University. The author has contributed to research in topics: The Internet & Efficient energy use. The author has an hindex of 6, co-authored 11 publications receiving 188 citations.
Papers
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Proceedings ArticleDOI
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification
Samira Pouyanfar,Yudong Tao,Anup Mohan,Haiman Tian,Ahmed S. Kaseb,Kent Gauen,Ryan Dailey,Sarah Aghajanzadeh,Yung-Hsiang Lu,Shu-Ching Chen,Mei-Ling Shyu +10 more
TL;DR: A novel model based on the Convolutional Neural Networks to handle such imbalanced and heterogeneous data and successfully identifies the semantic concepts in these multimedia systems is presented.
Proceedings ArticleDOI
Internet of video things in 2030: A world with many cameras
TL;DR: This article estimates the number of cameras the world will see in 2030 and the implications of a large number of camera-based infrastructures, and surveys recent progress in relevant technologies and suggests directions for future research.
Journal ArticleDOI
Low-Power Computer Vision: Status, Challenges, and Opportunities
Sergei Alyamkin,Matthew Ardi,Alexander C. Berg,Achille Brighton,Bo Chen,Yi Chen,Hsin-Pai Cheng,Zichen Fan,Chen Feng,Bo Fu,Kent Gauen,Abhinav Goel,Alexander Goncharenko,Xuyang Guo,Soonhoi Ha,Andrew Howard,Xiao Hu,Yuanjun Huang,Dong-Hyun Kang,Jaeyoun Kim,Jong-Gook Ko,Alexander Kondratyev,Jun-Hyeok Lee,Seungjae Lee,Suwoong Lee,Zichao Li,Zhiyu Liang,Juzheng Liu,Xin Liu,Yang Lu,Yung-Hsiang Lu,Deeptanshu Malik,Hong Hanh Nguyen,Eunbyung Park,Denis Repin,Liang Shen,Tao Sheng,Fei Sun,David Svitov,George K. Thiruvathukal,Baiwu Zhang,Jingchi Zhang,Xiaopeng Zhang,Shaojie Zhuo +43 more
TL;DR: The state of the art for low-power solutions to detect objects in images is examined to suggest directions for research as well as opportunities forLow-power computer vision.
Proceedings ArticleDOI
Low-power image recognition challenge
TL;DR: Low-Power Image Recognition Challenge (LPIRC) is the only on-site competition that considers both energy consumption and recognition accuracy and was held as one-day workshops in the Design Automation Conference in 2015 and 2016.
Proceedings ArticleDOI
Comparison of Visual Datasets for Machine Learning
Kent Gauen,Ryan Dailey,John Laiman,Yuxiang Zi,Nirmal Asokan,Yung-Hsiang Lu,George K. Thiruvathukal,Mei-Ling Shyu,Shu-Ching Chen +8 more
TL;DR: A new approach is presented creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data and investigates object detection labels with respect to size, location, and contextual information.