Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
In this paper, we study efficient closed pattern mining in a general framework of set systems, which are families of subsets ordered by set-inclusion with a certain structure, pro...
We address issues related to privacy protection in location-based services (LBS). Most existing research in this field either requires a trusted third-party (anonymizer) or uses ...
Aniket Pingley, Wei Yu, Nan Zhang 0004, Xinwen Fu,...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
This paper examines how circuits and systems made from molecular QCA devices might function. Our design constraints are “chemically reasonable” in that we consider the charact...
Michael T. Niemier, Michael Crocker, Xiaobo Sharon...