April 20th, 2008
If you’ve ever been a cyclist, this video will strike a chord with you. Read on, after you watch the video. Yeah, count carefully.
Awesome video and it definitely stuck a chord with me. I’ve been cycling to work for the better part of the last 8 years, averaging about 20 kms a day. While riding in the city is overall safe, I’ve encountered some real close shaves that I’d count myself lucky to be alive to write this post. Most accidents to cyclists occur because they aren’t important enough to be ‘visible’. The video above hits it bang on.
Highway cycling turns cyclists into accident magnets. That’s why, we always bring along a car that tails the cyclists. Without the car, cyclists are a shoo-in.
It’s my request to all of us to show a bit more concern for pedestrians, runners and cyclists. You’ll be rewarded with lots of gratitude.
7 Responses to “One of My Favorite Videos…”
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I remember seeing this video sometime back on Seth godin’s blog.
Cool video.
So, did you catch it the first time ?
Done deal kribs. Will always keep that in mind.
Mr Kiruba
Yes!!!!!cylcist&two wheelers are most of the time neglected,very good observation in fact suggetion
http://www.marerial-spiritual.info
Thats why I wear a Pink helmet. So that they at least notice me.
Hey Kribs!
Is this video still available?
dear, sir
i am goodley one of the climate champ whom u met in delhi .
wat i want to tell u is help in creating a proper blog . i wanted to send u a msg bt if this is the wrong place i am sorry for that.i wanted to talk to u abt blog bt u wer in a hurry .newayz pls help .thank u
Extracting Structured Data from Web Pages
Keywords: Automatic Data Extraction
Many web sites contain large sets of pages generated using a common template or layout. For example, Amazon lays out the author, title, comments, etc. in the same way in all its book pages. The values used to generate the pages (e.g., the author, title,…) typically come from a database. In this paper, we study the problem of automatically extracting the database values from the web pages without any learning examples or other similar human input. We formally define the notion of a template, and propose a model that describes how values are encoded into pages using a template. We present an extraction algorithm that uses sets of words that have similar occurrence pattern in the input pages, to construct the template. The constructed template is then used to extract values from the pages. We show experimentally that the extracted values make semantic sense in most cases.
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