Online program monitoring is an effective technique for detecting bugs and security attacks in running applications. Extending these tools to monitor parallel programs is challeng...
Michelle L. Goodstein, Evangelos Vlachos, Shimin C...
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Previous research suggests that a decline in transactions costs leads to improved economic efficiency. In this paper,weshowthatsuchadeclinewillintroduceincreasinglyuninformedconsu...