340 search results - page 35 / 68 » Linear Dependent Dimensionality Reduction |
ICMLA
2007
13 years 9 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
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 ...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...