Identifying Relevant Eigenimages - a Random Matrix Approach

Details Identifying Relevant Eigenimages - a Random Matrix Approach Identifying Relevant Eigenimages - a Random Matrix Approach

2008-12-25

arxiv.org/abs/0812.4618v1

Physics

Data Analysis, Statistics and Probability

7 pages, 5 figures

Scientific paper

Dimensional reduction of high dimensional data can be achieved by keeping only the relevant eigenmodes after principal component analysis. However, differentiating relevant eigenmodes from the random noise eigenmodes is problematic. A new method based on the random matrix theory and a statistical goodness-of-fit test is proposed in this paper. It is validated by numerical simulations and applied to real-time magnetic resonance cardiac cine images.

Affiliated with

Also associated with

No associations

Rating

Identifying Relevant Eigenimages - a Random Matrix Approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Identifying Relevant Eigenimages - a Random Matrix Approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identifying Relevant Eigenimages - a Random Matrix Approach will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-436953