Add to ORKGEnergy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems
This article describes the novel Tree-based Unidirectional Neural Network (TRUNK) architecture. This...
Deep learning and machine learning innovations are at the core of the ongoing revolution in Artifici...
This paper gives an overview of the research being conducted at Stanford University's Space, Telecom...
Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have beco...
The winners, as well as the organizers and sponsors of the IEEE Low-Power Computer Vision Challenge,...
The Low-Power Image Recognition Challenge (LPIRC, this https URL) is an annual competition started i...
As the economies around the world are aligning more towards usage of computing systems, the global e...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The rapid explosion of online Cloud-based services has put more pressure on Cloud service providers ...
Computing has undergone a significant transformation over the past two decades, shifting from a mach...
Smart computing devices continue to increase in popularity, availability, and functionality. A smar...
Modern-day life is driven by electronic devices connected to the internet. The emerging research fie...
Machine learning (ML) has been extensively employed for strategy optimization, decision making, data...
After an introduction to renewable energy technologies, the authors present computational intelligen...
Solar photovoltaic (PV) technology has merged as an efficient and versatile method for converting th...
This article describes the novel Tree-based Unidirectional Neural Network (TRUNK) architecture. This...
Deep learning and machine learning innovations are at the core of the ongoing revolution in Artifici...
This paper gives an overview of the research being conducted at Stanford University's Space, Telecom...
Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have beco...
The winners, as well as the organizers and sponsors of the IEEE Low-Power Computer Vision Challenge,...
The Low-Power Image Recognition Challenge (LPIRC, this https URL) is an annual competition started i...
As the economies around the world are aligning more towards usage of computing systems, the global e...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The rapid explosion of online Cloud-based services has put more pressure on Cloud service providers ...
Computing has undergone a significant transformation over the past two decades, shifting from a mach...
Smart computing devices continue to increase in popularity, availability, and functionality. A smar...
Modern-day life is driven by electronic devices connected to the internet. The emerging research fie...
Machine learning (ML) has been extensively employed for strategy optimization, decision making, data...
After an introduction to renewable energy technologies, the authors present computational intelligen...
Solar photovoltaic (PV) technology has merged as an efficient and versatile method for converting th...
This article describes the novel Tree-based Unidirectional Neural Network (TRUNK) architecture. This...
Deep learning and machine learning innovations are at the core of the ongoing revolution in Artifici...
This paper gives an overview of the research being conducted at Stanford University's Space, Telecom...