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AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 6 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
TCSV
2008
297views more  TCSV 2008»
15 years 6 months ago
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring
Abstract--In this work, we study how continuous video monitoring and intelligent video processing can be used in eldercare to assist the independent living of elders and to improve...
Zhongna Zhou, Xi Chen, Yu-Chia Chung, Zhihai He, T...
MTA
2010
85views more  MTA 2010»
15 years 5 months ago
Investigating fuzzy DLs-based reasoning in semantic image analysis
Recent advances in semantic image analysis have brought forth generic methodologies to support concept learning at large scale. The attained performance however is highly variable,...
Stamatia Dasiopoulou, Ioannis Kompatsiaris, Michae...
WCRE
2010
IEEE
15 years 5 months ago
Immediacy through Interactivity: Online Analysis of Run-time Behavior
—Visualizations of actual run-time data support the comprehension of programs, like examples support the ion of abstract concepts and principles. Unfortunately, the required run-...
Michael Perscheid, Bastian Steinert, Robert Hirsch...
NECO
2011
15 years 1 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama