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In this paper we study the problem of estimating the cardinality of pairwise set operations (union and intersection) over sets possessed by different data owners, while preserving differential privacy. In our problem setting, a data owner could only communicate with an untrusted server, and thus have to perturb its set data for privacy protection before sharing them with the server. This problem setting...
The link traffic time estimation for urban traffic is an important part of the route guidance system, it is a necessary condition to realize the multiple functions of intelligent transportation, which has important effect on traffic planning, traffic management and traffic control. From the perspective of the research content, this paper analyzes the studies of link travel time estimation of urban...
Drift is the most difficult issue in object visual tracking based on framework of “tracking-by-detection”. Due to the self-taught learning, the mis-aligned samples are potentially to be incorporated in learning and degrade the discrimination of the tracker. This paper proposes a new tracking approach that resolves this problem by three multi-level collaborative components: a high-level global appearance...
This paper presents a framework for ZigBee indoor positioning with an ensemble approach. This approach exploits the complementary advantages of various algorithms, weights the estimation results, and combines them to improve accuracy. This is achieved by dynamically analyzing the diverse patterns of inputs and combining base positioning algorithms with spatial dependent weights. The experiments were...
During the billion transistor era, 3D stacking offers an attractive solution for the difficulties resulting from large-scale design complexities. Moreover, 3D stacking can benefit performance, power, bandwidth, footprint, and heterogeneous technology mixing. However, before adopting the 3D design strategy, this study seeks to understand how much cost is required to trade these benefits. This paper...
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