This paper presents a novel technique, called input space adaptive software synthesis, for the energy and performance optimization of embedded software. The proposed technique is ...
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Abstract. In the late nineties, Erickson proved a remarkable lower bound on the decision tree complexity of one of the central problems of computational geometry: given n numbers, ...
This paper proposes a response compactor, named ChiYun compactor, to compact scan-out responses in the presence of unknown values. By adding storage elements into an Xor network, ...
Mango Chia-Tso Chao, Seongmoon Wang, Srimat T. Cha...
Abstract— The paper deals with decentralized Bayesian detection with M hypotheses, and N sensors making conditionally correlated measurements regarding these hypotheses. Each sen...