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CSDA
2007
102views more  CSDA 2007»
15 years 13 days ago
On the robust detection of edges in time series filtering
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
Roland Fried
116
Voted
BMCBI
2007
123views more  BMCBI 2007»
15 years 14 days ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
109
Voted
WSC
2001
15 years 1 months ago
On the MSE robustness of batching estimators
Variance is a classical measure of a point estimator's sampling error. In steady-state simulation experiments, many estimators of this variance--or its square root, the stand...
Yingchieh Yeh, Bruce W. Schmeiser
ICASSP
2010
IEEE
15 years 19 days ago
Bridge detection and robust geodesics estimation via random walks
We propose an algorithm for detecting bridges and estimating geodesic distances from a set of noisy samples of an underlying manifold. Finding geodesics on a nearest neighbors gra...
Eugene Brevdo, Peter J. Ramadge
65
Voted
AUTOMATICA
2007
68views more  AUTOMATICA 2007»
15 years 17 days ago
A risk adjusted approach to robust simultaneous fault detection and isolation
: In this paper we address the problem of detecting and isolating faults from noisy input/output measurements of a MIMO uncertain–system, subject to structured dynamic uncertaint...
Wenjing Ma, Mario Sznaier, Constantino M. Lagoa