Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
We present a technique for reducing the power dissipation in the course of writebacks and committments in a datapath that uses a dedicated architectural register file (ARF) to hol...
Dmitry Ponomarev, Gurhan Kucuk, Oguz Ergin, Kanad ...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
Abstract. We describe InterPlay, a simulation engine coordinator that supports cooperation and interaction of multiple simulation and execution tools, thus helping to scale-up the ...