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...
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
This paper gives an overview of works done in our group on 3D and appearance modeling of objects, from images. The backbone of our approach is to use what we consider as the princi...
Abstract--In sub-100 nm CMOS processes, delay and leakage power reduction continue to be among the most critical design concerns. We propose to exploit the recent availability of f...
Kwangok Jeong, Andrew B. Kahng, Chul-Hong Park, Ha...