PUBLIC MARKS with search start

There seems to be broad agreement that the time is ripe to start work on a new version of HTTP in the IETF, and that it should happen in this Working Group.

if carriers were to get their collective heads out of their, uhm, seats and start putting user experience first instead of going iteratively ballistic about controlling everything their customers do on handsets (believe me, Carrier IQ is only the tip of the iceberg), it might get the recognition it deserves next year.

Octopress is a framework designed by Brandon Mathis for Jekyll, the blog aware static site generator powering Github Pages. To start blogging with Jekyll, you have to write your own HTML templates, CSS, Javascripts and set up your configuration. But with Octopress All of that is already taken care of. Simply clone or fork Octopress, install dependencies and the theme, and you’re set.

LearnOSM.org provides a simple-to-use, step by step approach to learning how to make maps with OpenStreetMap. If you are new to OSM the Beginner’s Guide is the best place to start.

Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-calibrated image data is a great reason for computer vision to start looking globally — on the scale of the entire planet! In this paper, we propose a simple algorithm for estimating a distribution over geographic locations from a single image using a purely data-driven scene matching approach. For this task, we will leverage a dataset of over 6 million GPS-tagged images from the Internet. We represent the estimated image location as a probability distribution over the Earth's surface. We quantitatively evaluate our approach in several geolocation tasks and demonstrate encouraging performance (up to 30 times better than chance). We show that geolocation estimates can provide the basis for numerous other image understanding tasks such as population density estimation, land cover estimation or urban/rural classification.

Wax is your gateway into putting maps on the web. It makes it easier to use APIs like Modest Maps, and documents, from the very start, the basics of web maps.