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ICIAP
2003
ACM
14 years 23 days ago
Multi-block PCA method for image change detection
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
B. Qiu, Véronique Prinet, Edith Perrier, Ol...
ACIVS
2005
Springer
14 years 1 months ago
Reduction of Blocking Artifacts in Block-Based Compressed Images
Abstract. A novel frequency domain technique for image blocking artifact reduction is presented in this paper. For each block, its DC and AC coefficients are recalculated for artif...
George A. Triantafyllidis, Dimitrios Tzovaras, Mic...
ICCV
2007
IEEE
14 years 9 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
ICPR
2006
IEEE
14 years 8 months ago
Clustering-based multispectral band selection using mutual information
This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct ...
Adolfo Martínez Usó, Filiberto Pla, ...
AAAI
2008
13 years 10 months ago
AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
Robert Speer, Catherine Havasi, Henry Lieberman