In this paper, we initiate a study of zero knowledge proof systems in the presence of sidechannel attacks. Specifically, we consider a setting where a cheating verifier is allow...
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...
We introduce the coupled placement problem for modern data centers spanning placement of application computation and data among available server and storage resources. While the t...