—Network management applications require large numbers of counters in order to collect traffic characteristics for each network flow. However, these counters often barely fit ...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
We present S, the first system to provide transparent, lowoverhead application record-replay and the ability to go live from replayed execution. S i...
A new correlation technique for Grey-Scale Template Image Matching, the Cross-Sectional Histogram Correlation (CHC) Method, is proposed. In comparison to the traditional, widely-us...
Our goal is to turn an intensity image into its perceived luminance without parsing it into depths, surfaces, or scene illuminations. We start with jarring intensity differences at...