885 search results - page 23 / 177 » Hierarchical Structuring of Data on Manifolds |
MM
2004
ACM
14 years 2 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
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 ...
CBMS
2003
IEEE
14 years 13 days ago
2003
IEEE
This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently. We employ the Isomap technique, which is based ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
MM
2010
ACM
13 years 9 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 ...