288 search results - page 7 / 58 » A New Approach to Multi-class Linear Dimensionality Reductio... |
73
Voted
NIPS
2008
14 years 11 months ago
2008
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
88
Voted
ICPR
2006
IEEE
15 years 10 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...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...