88 search results - page 17 / 18 » Distance Preserving Dimension Reduction for Manifold Learnin... |
COLT
2010
Springer
13 years 7 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
NIPS
2007
13 years 11 months ago
2007
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
PR
2007
13 years 9 months ago
2007
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
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...
ECAI
2000
Springer
14 years 2 months ago
2000
Springer
In this paper, an editing algorithm based on the projection of the examples in each dimension is presented. The algorithm, that we have called EOP (Editing by Ordered Projection) h...