In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
The trend towards multicore processors and graphic processing units is increasing the need for software that can take advantage of parallelism. Writing correct parallel programs u...
This paper presents an approach to searching for deadlocks in Concurrent Haskell programs. The search is based on a redefinition of the IO monad which allows the reversal of Concu...
We describe sensing techniques motivated by unique aspects of human-computer interaction with handheld devices in mobile settings. Special features of mobile interaction include c...
Ken Hinckley, Jeffrey S. Pierce, Mike Sinclair, Er...