885 search results - page 4 / 177 » Random Matrices in Data Analysis |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
LREC
2008
13 years 9 months ago
2008
We present results from using Random Indexing for Latent Semantic Analysis to handle Singular Value Decomposition tractability issues. We compare Latent Semantic Analysis, Random ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper, we review some potential applications of random Vandermonde matrices in the field of signal processing and wireless communications. Using asymptotic results based on...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...