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» Dimensionality Reduction with Image Data
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PR
2010
186views more  PR 2010»
14 years 8 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
14 years 8 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
SIGGRAPH
1994
ACM
15 years 1 months ago
Fast volume rendering using a shear-warp factorization of the viewing transformation
Several existing volume rendering algorithms operate by factoring the viewing transformation into a 3D shear parallel to the data slices, a projection to form an intermediate but ...
Philippe Lacroute, Marc Levoy
CLA
2004
14 years 11 months ago
Concept Lattice Generation by Singular Value Decomposition
Abstract. Latent semantic indexing (LSI) is an application of numerical method called singular value decomposition (SVD), which discovers latent semantic in documents by creating c...
Petr Gajdos, Pavel Moravec, Václav Sn&aacut...
ICCV
2007
IEEE
15 years 12 months ago
Improving Descriptors for Fast Tree Matching by Optimal Linear Projection
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that ...
Krystian Mikolajczyk, Jiri Matas