434 search results - page 20 / 87 » Dimensionality Reduction of Clustered Data Sets |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
SIGMOD
2000
ACM
14 years 29 days ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
ML
2010
ACM
13 years 7 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
ICASSP
2008
IEEE
14 years 3 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...