On Mon, Oct 10, 2011 at 7:13 PM, David Warde-Farley
wrote:
> Assuming you aren't deploying commercially (or have a license for UBC's
> patent on SIFT), I've had good success with
> sift++: http://www.vlfeat.org/~vedaldi/code/siftpp.html
If you're interested in those kinds of features, you can als
Assuming you aren't deploying commercially (or have a license for UBC's patent
on SIFT), I've had good success with sift++:
http://www.vlfeat.org/~vedaldi/code/siftpp.html
On 2011-10-10, at 21:02, Victor Oliveira wrote:
> Hello guys, I've been working with content-based image retrieval and I w
Hi Victor
On Mon, Oct 10, 2011 at 6:02 PM, Victor Oliveira
wrote:
> Hello guys, I've been working with content-based image retrieval and I want
> to use some visual descriptors in my thesis. Does any of you know some
> open-source implementation of these algorithms? I mean, something I could
> us
On Mon, Oct 10, 2011 at 3:06 AM, Fernando Perez wrote:
>> I hope that this exchange will have been useful for you to understand
>> better some aspects of cluster computing in some environment. I cannot
>> rely go much further, as it is beyond my expertise.
>
> In this form, it truly has, and for t
Hello guys, I've been working with content-based image retrieval and I want
to use some visual descriptors in my thesis. Does any of you know some
open-source implementation of these algorithms? I mean, something I could
use in Python (with scikits.learn) or even C code which I could create a
bindi
On Mon, Oct 10, 2011 at 5:01 AM, Gael Varoquaux
wrote:
> Very nice. I find it very visually appealing. And the (few) examples are
> very nice and pedagogical.
The credit here goes to the ipython and scikit-learn teams!
Emmanuelle borrowed your gallery generator, which made all the
difference. We
Hi,
We, the scikit-learn project, would like to apply to be a member
project of the Software Freedom Conservancy.
scikit-learn is a very active Open Source library for machine learning
in Python / Numpy / Scipy published under the BSD license.
The source code is hosted on github:
http://github.c
On Mon, Oct 10, 2011 at 04:00:25AM -0700, Stéfan van der Walt wrote:
> After a brief (!) absence, we're back with a new and shiny version of
> scikits.image, the image processing toolbox for SciPy.
Congratulations for the release, and thanks for rocks this package. As a
community we really need it
Announcement: scikits.image 0.3
===
After a brief (!) absence, we're back with a new and shiny version of
scikits.image, the image processing toolbox for SciPy.
This release runs under all major operating systems where
Python (>=2.6 or 3.x), NumPy and SciPy can be inst
On Sun, Oct 9, 2011 at 5:06 PM, Gael Varoquaux
wrote:
> On Sun, Oct 09, 2011 at 03:23:51PM -0700, Fernando Perez wrote:
>> Well, if it integrates 'quite poorly', it would be nice to hear this
>> as a bug report or a question on the ipython lists, because PBS/SGE
>> support is precisely one of the
+1, seems good to me.
2011/10/10 Fabian Pedregosa
> +1 for me too!
>
> On Mon, Oct 10, 2011 at 12:05 AM, Robert Layton
> wrote:
> > Sounds good (I can't believe I missed that page!).
> > +1
> > - Robert
> >
> > On 10 October 2011 08:38, Olivier Grisel
> wrote:
> >>
> >> 2011/10/9 Robert Layto
+1 for me too!
On Mon, Oct 10, 2011 at 12:05 AM, Robert Layton wrote:
> Sounds good (I can't believe I missed that page!).
> +1
> - Robert
>
> On 10 October 2011 08:38, Olivier Grisel wrote:
>>
>> 2011/10/9 Robert Layton :
>> > A quick question I wasn't able to find in the website... are there
On Fri, Oct 7, 2011 at 5:07 AM, Olivier Grisel wrote:
> 2011/10/7 Ian Goodfellow :
>> I understand that LinearSVC is implemented using liblinear, which I thought
>> should work well with large datasets. However, when I pass LinearSVC.fit a
>> design matrix of size 40,000 x 14,400 (in float32 forma
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