288 search results - page 1 / 58 » A New Approach to Multi-class Linear Dimensionality Reductio... |
CIARP
2006
Springer
13 years 8 months ago
2006
Springer
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
VLDB
2000
ACM
13 years 8 months ago
2000
ACM
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
PAMI
2008
13 years 4 months ago
2008
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...