Can you open a PR with an example and attach the plots and output and
timing?
The example needs to download the dataset.
Cheers,
Andy
On 02/29/2016 03:15 PM, Guillaume Lemaître wrote:
Hi guys,
I got a bit of time meanwhile in a conference:
https://github.com/glemaitre/bow-sklearn-example
The extraction is in the source. I have to include the part to measure
the timing. Let me know of that make sense.
Cheers,
On 23 February 2016 at 20:39, Nadim Farhat <nadim.far...@gmail.com
<mailto:nadim.far...@gmail.com>> wrote:
HI Andreas,
Sorry for Jumping into the conversation and getting a bit off
topic, what does it mean "flat data" sets in sklearn ?
Bests
Nadim Farhat
Phd Bioengineering candidate
Center for Ultrasound and therapeutics
University of Pittsburgh
On Mon, Feb 22, 2016 at 12:12 PM Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>> wrote:
Hi Guillaume.
I was a big user of BoW myself, but I don't think it should go
into scikit-learn.
BoW doesn't really operate on a "flat" dataset, as
scikit-learn usually does. It works on groups of data points.
Each sample is usually a concatenation of feature vectors,
which you summarize as a histogram.
That doesn't really fit into the scikit-learn API.
For any particular application (I did bag of visual words),
creating an implementation using the kmeans or sparse coding
in scikit-learn
is only a couple of lines (you can find my visual bow for
per-superpixel descriptors here
https://github.com/amueller/segmentation/blob/master/bow.py#L184)
Cheers,
Andy
On 02/14/2016 09:03 PM, Guillaume Lemaître wrote:
Dear all,
My group and I, are currently working on image classification
applied to medical images. We are using the Bag-of-Features
(or Bag-of-Visual-Words, Bag-of-Words) which was inspired
originally from the text classification. In fact, we have a
kind of dirty implementation
[here](https://github.com/glemaitre/protoclass/blob/master/protoclass/extraction/codebook.py)
which I would like to, somehow, even only if it is for a
personal branch, integrate to the scikit-learn.
However, I have some philosophical questions before to mess
around, which in fact are feeding some discussions in our
lab. Checking the API, the BoF approach could be part of the
`feature_extraction` module. BoF is really similar to the
implementation of the BoW for text as previously mentioned.
Nevertheless, I am questioning if the BoF shall rather not be
integrated to the `decomposition` module. By looking at it,
the method consists of: (i) dictionary learning (base
K-Means, Mean-Shift, etc.), (ii) encoding (or voting in that
case using k-NN), and (iii) pooling (histogram).
Thus, in some sort the BoF can be seen as any of the
decomposition (even more similar to sparse coding). For
instance the sparse learning follow exactly the same scheme:
dictionary learning with K-SVD, encoding, and pooling
(min/max/etc.). Similar thing for PCA, if you tackle the
problem of dictionary as finding the eigenvectors/eigenvalues.
My questions are thus the following:
- what are you thinking about such thing;
- where the BoF implementation of this approach is the most
judicious;
- would it be judicious to think about the different
decomposition methods as the three steps earlier mentioned or
it would be not at all intuitive?
Hope that the topic is not to weird.
Cheers,
--
*LEMAÎTRE Guillaume
PhD Candidate
MSc Erasmus Mundus ViBOT (Vision-roBOTic)
MSc Business Innovation and Technology Management
**
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--
*LEMAÎTRE Guillaume
PhD Candidate
MSc Erasmus Mundus ViBOT (Vision-roBOTic)
MSc Business Innovation and Technology Management
**
*g.lemaitr...@gmail.com <mailto:g.lemaitr...@gmail.com>
*ViCOROB - Computer Vision and Robotic Team*
Universitat de Girona, Campus Montilivi, Edifici P-IV 17071 Girona
Tel. +34 972 41 98 12 - Fax. +34 972 41 82 59
http://vicorob.udg.es/
*LE2I - Le Creusot
*IUT Le Creusot, Laboratoire LE2I, 12 rue de la Fonderie, 71200 Le Creusot
Tel. +33 3 85 73 10 90 - Fax. +33 3 85 73 10 97
http://le2i.cnrs.fr
https://sites.google.com/site/glemaitre58/
Vice - Chairman of A.S.C. Fours UFOLEP
Chairman of A.S.C. Fours FFC
Webmaster of http://ascfours.free.fr
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