695 search results - page 2 / 139 » The structure of intrinsic complexity of learning |
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
MVA
2010
13 years 3 months ago
2010
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
ETVC
2008
13 years 6 months ago
2008
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
NIPS
2007
13 years 6 months ago
2007
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.