371 search results - page 32 / 75 » Learning to match and cluster large high-dimensional data se... |
CIDM
2009
IEEE
14 years 12 days ago
2009
IEEE
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
PR
2008
13 years 7 months ago
2008
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
BMCBI
2005
13 years 7 months ago
2005
Background: Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or b...
PRESENCE
2007
13 years 7 months ago
2007
We describe a methodology for Virtual Reality designers to capture and resynthesize the variations in sound made by objects when we interact with them through contact such as touc...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...