Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
We review key challenges of developing spoken dialog systems that can engage in interactions with one or multiple participants in relatively unconstrained environments. We outline...
It is an important topic for segmentation on how to merge the over-segmented subimages of characters into integral characters. The conventional character segmentation has been mos...
We describe a machine model for automatically dynamizing static algorithms and apply it to historyindependent data structures. Static programs expressed in this model are dynamize...
Umut A. Acar, Guy E. Blelloch, Robert Harper, Jorg...
Online program monitoring is an effective technique for detecting bugs and security attacks in running applications. Extending these tools to monitor parallel programs is challeng...
Michelle L. Goodstein, Evangelos Vlachos, Shimin C...