334 search results - page 29 / 67 » Local Dimensionality Reduction: A New Approach to Indexing H... |
CIVR
2003
Springer
14 years 23 days ago
2003
Springer
Abstract. The paper describes a fast system for appearance based image recognition . It uses local invariant descriptors and efficient nearest neighbor search. First, local affine ...
IVC
2007
13 years 7 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
IJCAI
2007
13 years 9 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
ICIP
2005
IEEE
2005
IEEE
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects
14 years 9 months ago
We present a new approach based on Discriminant Analysis to map a high dimensional image feature space onto
PSIVT
2009
Springer
14 years 2 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...