A simple feature extraction for high dimensional image representations thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

A simple feature extraction for high dimensional image representations

Published on Feb 25, 20075247 Views

We investigate a method to find local clusters in low dimensional subspaces of high dimensional data, e.g. in high dimensional image descriptions. Using cluster centers instead of the full set of data

Related categories