Statistical traffic classification techniques are often developed under the assumption that monitoring devices can observe the two half-flows composing each traffic session. Howeve...
Manuel Crotti, Francesco Gringoli, Luca Salgarelli
We present two studies of participatory sensing in the wild, in which groups of young people used sensors to collect environmental data along with contextual information such as p...
The lack of good "correlation" between pre-silicon simulated delays and measured delays on silicon (silicon data) has spurred efforts on so-called silicon debug. The ide...
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...