Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
Implementing first-class continuations can pose a challenge if the target machine makes no provisions for accessing and re-installing the run-time stack. In this paper, we present...
Greg Pettyjohn, John Clements, Joe Marshall, Shrir...
Three-dimensional (3-D) integrated circuits have emerged as promising candidates to overcome the interconnect bottlenecks of nanometer scale designs. While they offer several othe...
Gian Luca Loi, Banit Agrawal, Navin Srivastava, Sh...
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...