134 search results - page 8 / 27 » Random Projections for Manifold Learning |
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
FOCS
1999
IEEE
14 years 2 months ago
1999
IEEE
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
MMM
2011
Springer
13 years 1 months ago
2011
Springer
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
COLT
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. We present an improved version of random projections that takes advantage of marginal norms. Using a maximum likelihood estimator (MLE), marginconstrained random projecti...
COLT
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. The regularization functional induced by the graph Laplacian of a random neighborhood graph based on the data is adaptive in two ways. First it adapts to an underlying ma...