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140
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3DPVT
2004
IEEE
2004
IEEE
Projection Model, 3D Reconstruction and Rigid Motion Estimation from Non-Central Catadioptric Images
15 years 7 months ago
This paper addresses the problem of rigid motion estimation and 3D reconstruction in vision systems where it is possible to recover the incident light ray direction from the image...
124
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ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
135
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NIPS
2008
15 years 5 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
143
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NIPS
2003
15 years 5 months ago
2003
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
146
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NIPS
2003
15 years 5 months ago
2003
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...