—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
Latency has become an important metric for network monitoring since the emergence of new latency-sensitive applications (e.g., algorithmic trading and high-performance computing)....
Myungjin Lee, Nick G. Duffield, Ramana Rao Kompell...
Aspect extraction is a central problem in sentiment analysis. Current methods either extract aspects without categorizing them, or extract and categorize them using unsupervised t...
Recognizing the conversational context in which group interactions unfold has applications in machines that support collaborative work and perform automatic social inference using ...
Dinesh Babu Jayagopi, Taemie Kim, Alex Pentland, D...
Much work has been done on predicting where is one going to be in the immediate future, typically within the next hour. By contrast, we address the open problem of predicting huma...