We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
We present Lazy Binary Splitting (LBS), a user-level scheduler of nested parallelism for shared-memory multiprocessors that builds on existing Eager Binary Splitting work-stealing...
Alexandros Tzannes, George C. Caragea, Rajeev Baru...
We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet ...
We describe Joshua (Li et al., 2009a)1, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronou...
Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri ...