— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...