5092 search results - page 34 / 1019 » Clustering the Feature Space |
ICIP
2007
IEEE
14 years 4 months ago
2007
IEEE
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
KDD
2002
ACM
14 years 10 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
IDA
2002
Springer
13 years 9 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
PAMI
2002
13 years 9 months ago
2002
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
SDM
2009
SIAM
14 years 7 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...