Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Abstract-- Despite its promise, RFID technology presents numerous challenges, including incomplete data, lack of location and containment information, and very high volumes. In thi...
Richard Cocci, Thanh Tran 0002, Yanlei Diao, Prash...
This paper presents a novel low-energy memory design technique, considering effective bitwidth of variables for applicationspecific systems, called VAbM technique. It targets th...