News from the Web: New Promotions, Pages, Projects
or many years I had abstained from joining Reddit, which I subconsciously viewed as a competitor to Digg, where I was already quite prominent and sometimes called “omnipresent”. But several months ago I reconciled all this nonsense and joined the site — a site that I had been sometimes criticising over at Techrights. During the weekend Techrights reached Reddit’s front page with this submission and the comments were surprisingly decent (in the past there were Novell employees attacking messengers in the comments, as means of misdirection). Things apparently do change over time, and sometimes in a positive way.
Separately, I have set up a page for me and my fiancée before our wedding (less than half a year away) and she loves it. Finally, a friend (and fellow professor) took dozens of videos and hundreds of photos with me over the weekend because we prepare a site and product called FXI (no public details on it just yet, but here is a a clue). There are some FXI logo ideas (the product is not yet up on the Web). This was made with the GIMP of course and it is far from final, only concepts.






Next weekend I hope to finally upload a lot of code I wrote in 2011-2012, accompanied by whitepapers and documentation. Busy week ahead…






Filed under:
ed and green hues represent the matching from dual-scale classifiers of the rear of cars. Some more bugs were removed in this latest iteration of the implementation.
he circle at the left shows whether the car is getting closer (white) or going away (red). The size of the circle is indicative of length.
CTIVISM for software freedom seems to have weakened somewhat. Truth be said, the FSF saw its power declining, key staff at the FSF left, and Android, which champions the Linux ideology in some sense, does almost nothing for GNU and very little for software freedom. Its code is Free/open source, but it also embraces DRM and other nasties.
NE of my clients, 
ASED on further experiments, at the expense of performance in terms of framerate we can easily improve accuracy to the point of perfect tracking for particular cars. This is done by increasing the sample (window) size on which the tree is trained.