Re: Hopfield nerons for porn image detection

2009-03-03 Thread Karsten Bräckelmann
On Tue, 2009-03-03 at 15:16 -0800, John Hardin wrote: > On Tue, 3 Mar 2009, Luis Daniel Lucio Quiroz wrote: > > > I'm focusing into mail attachment, those nothing-better-to-do users that > > sends images to his friends using their corporate email. > > Ah, corporate policy enforcement. > > I wou

Re: Hopfield nerons for porn image detection

2009-03-03 Thread John Hardin
On Tue, 3 Mar 2009, Luis Daniel Lucio Quiroz wrote: I'm focusing into mail attachment, those nothing-better-to-do users that sends images to his friends using their corporate email. Ah, corporate policy enforcement. I wouldn't worry so much about trying to intelligently identify images to fi

Re: Hopfield nerons for porn image detection

2009-03-03 Thread Karsten Bräckelmann
On Tue, 2009-03-03 at 16:36 -0600, Luis Daniel Lucio Quiroz wrote: > Yes, > > but linked is detected over other solutions related to websurfing. > > I'm focusing into mail attachment, those nothing-better-to-do users that > sends > images to his friends using their corporate email. Whoops, wro

Re: Hopfield nerons for porn image detection

2009-03-03 Thread Luis Daniel Lucio Quiroz
Yes, but linked is detected over other solutions related to websurfing. I'm focusing into mail attachment, those nothing-better-to-do users that sends images to his friends using their corporate email. Even, this could be combined with other modules that let SA download image and then analize

Re: Hopfield nerons for porn image detection

2009-03-03 Thread RW
On Tue, 3 Mar 2009 14:19:24 -0600 Luis Daniel Lucio Quiroz wrote: > > Hopfield networks are not the fastest, but they can identify paterns > with noise. I was wondering to cut an image in smaller zones nxn and > then run hopfield network to detect naked body parts. After > detectin these, a gr

RE: Hopfield nerons for porn image detection

2009-03-03 Thread Michael Hutchinson
-Original Message- From: Luis Daniel Lucio Quiroz [mailto:luis.daniel.lu...@gmail.com] Sent: Wednesday, 4 March 2009 9:19 a.m. To: users@spamassassin.apache.org Subject: Re: Hopfield nerons for porn image detection Good one, Hopfield networks are not the fastest, but they can

RE: Hopfield nerons for porn image detection

2009-03-03 Thread Bowie Bailey
Luis Daniel Lucio Quiroz wrote: > > Hopfield networks are not the fastest, but they can identify paterns > with noise. I was wondering to cut an image in smaller zones nxn and > then run hopfield network to detect naked body parts. After > detectin these, a grade could be done. Unfortunately,

Re: Hopfield nerons for porn image detection

2009-03-03 Thread Luis Daniel Lucio Quiroz
Good one, Hopfield networks are not the fastest, but they can identify paterns with noise. I was wondering to cut an image in smaller zones nxn and then run hopfield network to detect naked body parts. After detectin these, a grade could be done. Any comment. On Sunday 01 March 2009 18:49

Re: Hopfield nerons for porn image detection

2009-03-01 Thread Kai Schaetzl
Karsten Bräckelmann wrote on Mon, 02 Mar 2009 00:35:35 +0100: > Please excuse my ignorance -- how fast is that? Also, there's quite a > difference between identifying an "A" symbol and porn, isn't it? Depends on how well the bodies form the alphabet ;-) Kai -- Kai Schätzl, Berlin, Germany Get

Re: Hopfield nerons for porn image detection

2009-03-01 Thread Karsten Bräckelmann
On Sun, 2009-03-01 at 17:19 -0600, Luis Daniel Lucio Quiroz wrote: > HI all, > > While studing a subject of hopfield for my master. Reading, I got that a > Hopfield network is able to detect patterns even if inputs have noise. So > for > example many people could write A capital in many ways

Hopfield nerons for porn image detection

2009-03-01 Thread Luis Daniel Lucio Quiroz
HI all, While studing a subject of hopfield for my master. Reading, I got that a Hopfield network is able to detect patterns even if inputs have noise. So for example many people could write A capital in many ways and hopfield network will detect A symbol. What do you think on using this to