Recent content by squaremeplz

My question is related to optical character recognition. So if I draw a T, how do I match it to T that accurately reflects the entire training data? I.e. if I have pattern T1, pattern T2, .., are the sequences for n T's. C1, C2,..,CN is C training points for n C's. If I feed a single C...

I.e. A new sequence is entered and we wish to identify group membership to T or C based on sample data for T and C. SInce T and C won't necessarily consist of 2 example database( 1 for each) but rather 1000 for T and 1000 C examples, how does one accurately calculate a match?

Homework Statement If I have a 3*3 grid, or 3*3 matrix, which records clicked points. I.e. Pattern T = [1,1] = 1 [1,2] = 1 [1,3] = 1 [2,1] = -1 [2,2] = 1 [2,3] = -1 [3,1] = -1 [3,2] = 1 [3,3] = -1 or 1 1 1 -1 1 -1 -1 1 -1 What is the best way to statistically...

That is awesome. Great explanation. I figure this will be the only useful linear algebra technique so this is very helpful. Go your brain!

I think the placement of the eigenvectors is also not crucial due to the nature of the eigenvectors. e^-1 and e act to still give the diagonal I believe. but i will try that some other time

Yep, I did try it all out and i got the diagonal it took some time to get the inverse correct by hand but looking back at it it's pretty straight forward. Thanks for your help :)

I figured as much.. but why did it make the matrix in that order? Does it have to do with the diagonal result?

Sorry I am trying to diagonalize the matrix h I used MATLAB to check my results: h = 2 1 0 1 2 1 0 0 2 >> [e,r] = eig(h) e = 0.7071 -0.7071 -0.7071 0.7071 0.7071 0 0 0 0.7071r = 3 0 0...

Homework Statement When generating a matrix from eigenvectors, does it matter in which order the columns are placed?

Thanks.

So the the question is asking whether max |x_i| for 1 <= i <= n satisfies these conditions?

Homework Statement Does ||x||_inf = max | x_i | for 1 <= i <= n define a norm on R^(n) Homework Equations The Attempt at a Solution ok, I thought I understood vector spaces but this problem is confusing the heck out of me. A norm is a function that assigns a positive and finite length to...

hey thanks a bunch man!

prblm slvd

So you are mapping from the 3 dimensional real space to the 2 dimensional real space? And you want to find the vector x? 2 is wrong. A * x = [-1;0] solve for x