48 search results - page 3 / 10 » A Tensor Approximation Approach to Dimensionality Reduction |
CIKM
2003
Springer
14 years 19 days ago
2003
Springer
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...
MM
2005
ACM
14 years 29 days ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
TIT
2008
13 years 7 months ago
2008
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
NIPS
2008
13 years 8 months ago
2008
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...