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IJCNN
2006
IEEE
14 years 1 months ago
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 8 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, ...
ICPR
2002
IEEE
14 years 9 months ago
On Selecting Colour Components for Skin Detection
We used a data analysis approach for selecting colour components for skin detection. The criterion for this selection was to achieve a reasonable degree of generalisation and reco...
Giovani Gómez
MICCAI
2002
Springer
14 years 8 months ago
From Colour to Tissue Histology: Physics Based Interpretation of Images of Pigmented Skin Lesions
Through an understanding of the image formation process, diagnostically important facts about the internal structure and composition of the skin lesions can be derived from their c...
Ela Claridge, Symon Cotton, Per Hall, Marc Moncrie...
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...