349 search results - page 19 / 70 » Information Preserving Dimensionality Reduction |
CVPR
2007
IEEE
14 years 4 months ago
2007
IEEE
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
NIPS
2007
13 years 11 months ago
2007
Maximum variance unfolding (MVU) is an effective heuristic for dimensionality reduction. It produces a low-dimensional representation of the data by maximizing the variance of the...
AMDO
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
DATESO
2004
13 years 11 months ago
2004
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...