52 search results - page 3 / 11 » Euclidean Embedding of Co-Occurrence Data |
IJON
2011
13 years 7 days ago
2011
Abstract. The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of a sparse lattice of points in latent spac...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Early stress recognition is of great relevance in precision plant protection. Pre-symptomatic water stress detection is of particular interest, ultimately helping to meet the chal...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
We propose an efficient algorithm to find the exact nearest neighbor based on the Euclidean distance for largescale computer vision problems. We embed data points nonlinearly on...