I think the Squire et al. papers from 1999 accessible from the Viper site in Geneva cite a paper of Tversky's which justifies asymmetric similarity matrices: What you are looking for influences your notion of similarity.
Cheers,
Wolfgang
On Thu, Apr 16, 2009 at 8:14 AM, Henning Müller <
address@hidden <mailto:
address@hidden>> wrote:
Dear Juan,
this is normal as the similarity measure of GIFT is not a metric as
it is based on a tf/idf weighting form text retrieval.
Image similarity is calculated in the space spanned by the features
present in the query, only. Each image has around 1500 features out
of 87000 possible (most of them binary features), so each image
potentially spans a different sub-space in which similarity is
calculated.
Cheers, Henning
Juan C. Caicedo a écrit :
Hello everybody,
We are building a similarity matrix of an image collection using
GIFT. However, we notice that this matrix is not a symmetric one.
Could anybody tells us what is the reason of this behaviour and
some hints to obtain a symmetric similarity matrix?
Thanks in advance to all you.
Juan C. Caicedo
------------------------------------------------------------------------
_______________________________________________
help-GIFT mailing list