434 search results - page 62 / 87 » Dimensionality Reduction of Clustered Data Sets |
CLEAR
2007
Springer
14 years 2 months ago
2007
Springer
We present the IBM systems for the Rich Transcription 2007 (RT07) speaker diarization evaluation task on lecture meeting data. We first overview our baseline system that was devel...
FGR
2006
IEEE
14 years 2 months ago
2006
IEEE
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
PKDD
2005
Springer
14 years 2 months ago
2005
Springer
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
BMCBI
2006
13 years 8 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
IVC
2007
13 years 8 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...