Anomalous events that affect the performance of networks are a fact of life. It is therefore not surprising that recent years have seen an explosion in research on network anomaly...
Haakon Ringberg, Matthew Roughan, Jennifer Rexford
This paper evaluates the performance of several popular corner detectors using two newly defined criteria. The majority of authors of published corner detectors have not used theo...
In this paper we show that data races, a type of bug that generally only causes havoc in parallel programs, can also occur in sequential programs that use signal handlers. Fortunat...
Michiel Ronsse, Jonas Maebe, Koenraad De Bosschere
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
Viola et al. have introduced a fast object detection scheme based on a boosted cascade of haar-like features. In this paper, we introduce a novel ternary feature that enriches the...