785 search results - page 66 / 157 » Semi-Supervised Dimensionality Reduction |
150
Voted
CORR
2006
Springer
15 years 3 months ago
2006
Springer
: This document gives an algebraic and two polygraphic translations of Petri nets, all three providing an easier way to describe reductions and to identify some of them. The first ...
154
Voted
TSMC
2008
15 years 3 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
137
Voted
SODA
2010
ACM
16 years 1 months ago
2010
ACM
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
111
Voted
AUSAI
2007
Springer
15 years 10 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
147
Voted
KDD
2001
ACM
16 years 4 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...