105 search results - page 20 / 21 » Sensing-aware classification with high-dimensional data |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
BMCBI
2002
13 years 5 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
ACMACE
2008
ACM
13 years 7 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
MICCAI
2000
Springer
13 years 8 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
ESANN
2006
13 years 6 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...