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AMCS
2008
146views Mathematics» more  AMCS 2008»
14 years 9 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, ...
ICDE
2008
IEEE
131views Database» more  ICDE 2008»
15 years 11 months ago
Outlier-Aware Data Aggregation in Sensor Networks
In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework ca...
Antonios Deligiannakis, Vassilis Stoumpos, Yannis ...
73
Voted
ICCV
2001
IEEE
15 years 11 months ago
Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination
We develop an efficient algorithm to track point features supported by image patches undergoing affine deformations and changes in illumination. The algorithm is based on a combin...
Hailin Jin, Paolo Favaro, Stefano Soatto
ICPR
2004
IEEE
15 years 10 months ago
Two-Stage Classification System combining Model-Based and Discriminative Approaches
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
Jonathan Milgram, Mohamed Cheriet, Robert Sabourin
72
Voted
LREC
2010
150views Education» more  LREC 2010»
14 years 11 months ago
Detection of Peculiar Examples using LOF and One Class SVM
This paper proposes the method to detect peculiar examples of the target word from a corpus. The peculiar example is regarded as an outlier in the given example set. Therefore we ...
Hiroyuki Shinnou, Minoru Sasaki