288 search results - page 1 / 58 » A New Approach to Multi-class Linear Dimensionality Reductio... |
CIARP
2006
Springer
14 years 1 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
14 years 1 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 6 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 9 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
14 years 4 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...