Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot app...
Tatiana von Landesberger, Sebastian Bremm, Peyman ...
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a nov...