The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
Embedded processors like Intel’s XScale use dynamic branch prediction to improve performance. Due to the presence of context switches, the accuracy of these predictors is reduce...
There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. Context models ...
Myung Jin Choi, Joseph Lim, Antonio Torralba, Alan...
Coinductive proofs of behavioral equivalence often require human ingenuity, in that one is expected to provide a “good” relation extending one’s goal with additional lemmas, ...
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...