88 search results - page 3 / 18 » Distance Preserving Dimension Reduction for Manifold Learnin... |
MM
2010
ACM
13 years 8 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
TIP
2010
13 years 3 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Local intrinsic dimension estimation has been shown to be useful for many tasks such as image segmentation, anomaly detection, and de-biasing global dimension estimates. Of partic...
AAAI
2007
13 years 11 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...