85 search results - page 2 / 17 » Random hyperplane projection using derived dimensions |
123
Voted
BMVC
2010
14 years 11 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
111
Voted
IJAIT
2007
15 years 1 months ago
2007
In document retrieval task, random projection (RP) is a useful technique of dimension reduction. It can be obtained very quickly yet the recalculation is not necessary to any chang...
94
Voted
ICPP
2000
IEEE
15 years 5 months ago
2000
IEEE
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
135
Voted
Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
122
Voted
AI
2005
Springer
15 years 6 months ago
2005
Springer
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...