You could do something like this, where MyDIstanceFunc is written with weave
and some intelligent caching. This only computes the upper diagonal
elements in a sparse matrix:
self.NumDatapoints = len(self.DataPoints)
self.Distances = sparse.lil_matrix((self.NumDatapoints,self.NumDatapoints))
for
see this page I found in my del.icio.us links, sorry I forgot to mention it
at the time of the thread:
http://www.owlnet.rice.edu/~elec301/Projects99/faces/code.html
All the best
On Mon, Mar 10, 2008 at 1:37 AM, royG <[EMAIL PROTECTED]> wrote:
> friends
> I am learning eigenfaces using numpy .
I found this in my del.icio.us links, sorry I forgot to mention it at the
time:
http://www.owlnet.rice.edu/~elec301/Projects99/faces/code.html
All the best
On Thu, Mar 6, 2008 at 10:39 AM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> ok..I coded everything again from scratch..looks like i was
See this thread:
http://www.mail-archive.com/numpy-discussion@scipy.org/msg06877.html
On Mon, Mar 10, 2008 at 1:37 AM, royG <[EMAIL PROTECTED]> wrote:
> friends
> I am learning eigenfaces using numpy . i use data from N images and
> create eigenvectors to get a 'sorted eigenvectors' array of si
b^H * vl[:,i]
>
> where a^H denotes transpose(conjugate(a)).
>
On Sat, Mar 1, 2008 at 12:41 AM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
>
>
> On Mar 1, 12:57 am, "Peter Skomoroch" wrote:
> I think
> > > matlab example should be easy to transla
Forgot the url:
http://www.cis.hut.fi/Opinnot/T-61.2010/harjoitustyo_en07.shtml
On Fri, Feb 29, 2008 at 2:56 PM, Peter Skomoroch <[EMAIL PROTECTED]>
wrote:
> Here is the page I referenced for the octave version ... it includes
> examples very similar to what you want. I will be po
nfaces
clear Z;
for i=1:length(eigensorted)
Z(:,:,1,i)=reshape(eigensorted(:,i)-1.5*min(min(min(eigensorted))),
19,19);
end
montage(Z)
%show top 16 eigenfaces
clear Z;
for i=1:16
Z(:,:,1,i)=reshape(eigensorted(:,i)-min(min(min(eigensorted))), 19,19);
end
montage(Z)
On Fri, Feb 29, 2008 at 2:
RoyG,
The timing of your question couldn't be better, I just did an blog post on
this (I also plugged scipy and the EPD):
http://www.datawrangling.com/python-montage-code-for-displaying-arrays.html
The code basically replicates the matlab montage() function and approach to
handling grayscale ima
If you want to use PyMPI or PyPar, I'm writing a series of tutorials on how to
get them running on Amazon EC2,
http://www.datawrangling.com/on-demand-mpi-cluster-with-python-and-ec2-part-1-of-3.html
I'm using PyMPI on a 20 node EC2 cluster and everything seems groovy, but I'm
relatively new to
