We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
Motivatedby the analysis of known parallel techniques for the solution of linear tridiagonal system, we introduce generalized scans, a class of recursively de ned lengthpreserving...
Paul F. Fischer, Franco P. Preparata, John E. Sava...
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...