Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
In this paper, we study the problem of indexing multidimensional data in the P2P networks based on distributed hash tables (DHTs). We identify several design issues and propose a ...
Autonomous routing algorithms, such as BGP, are intended to reach a globally consistent set of routes after nodes iteratively and independently collect, process, and share network...
Aaron D. Jaggard, Vijay Ramachandran, Rebecca N. W...
This paper presents and evaluates the storage management and caching in PAST, a large-scale peer-to-peer persistent storage utility. PAST is based on a self-organizing, Internetba...
Graph cuts methods are at the core of many state-of-theart algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve t...