785 search results - page 33 / 157 » Semi-Supervised Dimensionality Reduction |
141
Voted
DMDW
2000
15 years 5 months ago
2000
A data warehouse is designed to consolidate and maintain all attributes that are relevant for the analysis processes. Due to the rapid increase in the size of the modern operation...
134
Voted
ECCV
2004
Springer
16 years 5 months ago
2004
Springer
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
145
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
142
Voted
ICIP
2005
IEEE
16 years 5 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
140
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...