IEEE TMM Special Issue on Multimedia Computing with Interpretable Machine Learning
Manuscript Due: May 5, 2019
Publication Date: December 2019
CFP Document
In the era of big data, analysts usually explore various statistical models or machine-learning methods for observed data to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates.
This month's special issue of Proceedings of the IEEE provides a state-of-the-art overview of the field of silicon photonics, which is making a significant impact on fiber-optic communications and spreading to new areas such as sensors and deep learning.
In the era of big data, analysts usually explore various statistical models or machine-learning methods for observed data to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates.
The title of this editorial is borrowed from a popular children’s lullaby from the 1800s, which reads “Twinkle, twinkle, little star, how I wonder what you are!” It reminds me of the vast expanse of unexplored space (and science) that lie before us.
There have been three key revolutions in the way that research has become accessible: publishing, code, and data. The second and third revolutions are still taking place, particularly driven by the rise of machine-learning and artificial intelligence research in the last decade. When I started my research career in 1995, the World Wide Web was still in its infancy.
Manuscript Due: May 5, 2019
Publication Date: December 2019
CFP Document
Lecture Date: January 21, 2019
Chapter: Italy
Chapter Chair: Mauro Barni
Topic: Toward Autonomous Video Surveillance
The Department of Electrical and Computer Engineering (ECE) at the George Washington University (GWU) invites applications for a tenured/tenure-track faculty appointment starting as early as Fall 2019, in the area of signal and image processing (SIP). The appointment will be at the rank of Assistant or Associate Professor.
The Department of Electrical and Computer Engineering (ECE) at the George Washington University (GWU) invites applications for a tenured/tenure-track faculty appointment starting as early as Fall 2019, in the area of signal and image processing (SIP). The appointment will be at the rank of Assistant or Associate Professor.
At Crestron Electronics, Inc we build the technology that integrates technology.
We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high-tech commercial buildings’ to include some of the most exciting real estate throughout the world. Our clients include Google, Microsoft, Amazon, Linked In and many others.