137 search results - page 10 / 28 » Ordinal Embedding: Approximation Algorithms and Dimensionali... |
CIT
2006
Springer
13 years 11 months ago
2006
Springer
Hash functions play the most important role in various cryptologic applications, ranging from data integrity checking to digital signatures. Our goal is to introduce a new hash fu...
IJON
2010
13 years 5 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
AAAI
2010
13 years 9 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
BIOWIRE
2007
Springer
14 years 1 months ago
2007
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. In particular, r...