Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
Synthesizing architectural requirements from an application viewpoint can help in making important architectural design decisions towards building large scale parallel machines. I...
Anand Sivasubramaniam, Aman Singla, Umakishore Ram...
Modeling and recognizing landmarks at world-scale is a
useful yet challenging task. There exists no readily available
list of worldwide landmarks. Obtaining reliable visual
mode...
Yantao Zheng, Ming Zhao 0003, Yang Song, Hartwig A...
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition ...