Friday, February 26, 2010

Google personalized search

My blogspot blog was served as the first result of a personalized search for my friend — this is "personalized search", an opt-in feature that uses someone’s search history and location as signals to determine what kind of results they’ll find useful. Or as search quality engineer Patrick Riley puts it: every time you search on Google, you’re a lab rat.
The search terms were about a certain song and my blog post was totally irrelevant result. And it's pagerank is low. Only imaginable reason for my blog being the first is our gmail correspondence. How on earth could that be the first? Any idea?
screenshot:

Wednesday, February 24, 2010

Ocr Example Ocropus

Update: Here is Google Docs OCR output for the same image.
On an Ubuntu it takes a cc. 20 minutes to check out Ocropus and build from source and give it a try on an example image. Here are the results.




1 Down the Rabbit-Hole
Alice was beginning to get very tired of sitting by her sister on the bank,
and of having nothing to do: once or twice she had peeped into the book her
sister was reading, but it had no pictures Or cOnversations in it, 'and what is
the use of a book, ' thought Alice 'without pictures or conversation7
So She was considering in her own mind (as well as she could, for the hot
day made her feel very sleepy and stupid) , whether the pleasure of making a
daisy-chain would be worth the trouble of getting up and picking the daisies,
when suddenly a White Rabbit with pink eyes ran close by her.
There was nothing so VERY remarkable in that ; nor did Alice think it so
VERY much out of the way to hear the Rabbit say to itself, 'Oh dearl Oh
dearl I shall be latel ' (when she thought it over afterwards, it occurred to
her that she ought to have wondered at this, but at the time it all seemed
quite natural) ; but when the Rabbit actually TOOK A WATCH OUT OF
ITS WAISTCOAT- POCKET, and looked at it, and then hurried on, Alice
started to her feet , for it flashed across her mind that she had never before
seen a rabbit with either a waistcoat-pocket , or a watch to take out of it, and
burning with curiosity, she ran across the fleld after it, and fortunately was
just in time to see it pop down a large rabbit-hole under the hedge.
In another moment down went Alice after it, never once considering how
in the world she was to get out again.
The rabbit-hole went straight on like a tunnel for some way, and then
dipped suddenly down, so suddenly that Alice had not a moment to think
about stopping herself before she found herself falling down a very deep well.
Either the well was very deep , or she fell very slowly, for she had plenty
of time as she went down to look about her and to wonder what was going
to happen next . First , she tried to look down and make out what she was
coming to, but it was too dark to see anything; then she looked at the sides
of the well, and noticed that they were flled with cupboards and book-
shelves; here and there she saw maps and pictures hung upon pegs. She took
down a j ar from one of the shelves as she passed; it was labelled ' ORANGE
MARMALADE' , but to her great disappointment it was empty: she did not
like to drop the jar for fear of killing somebody, so managed to put it into
one of the cupboards as she fell past it.
'Welll ' thought Alice to herself, 'after such a fall as this, I shall think
nothing of tumbling down stairsl How brave they'll all think me at homel
Why, I wouldn't say anything about it, even if I fell off the top of the housel '
--- --- ---
Update: Here is Google Docs OCR output for the same image.

Tuesday, February 23, 2010

Compressed Sensing Image Reconstruction example

Recently learned about compressed sensing - my mind has just been blown away.
Here I share you a few example images to demonstrate what is possible by using advanced applied math algorithms and also a few links to dive into the subject. The pictures above are the original images and the next pictures bellow are the reconstructed versions by the magic algorithms. These samples were taken from Sapiro's paper.
There's an interesting article on the subject in Wired mag and here's a good glossary page.







Friday, February 19, 2010

Anagrammák megint

Ács eb ingerel, 
Generál csibe. 
Bence le is rág. 
Geri csáb el: ne! 
Bengáli csere, 
berág, elcseni. 
Bele! Igen, srác! 
Náci les, rebeg: 
láger becse, ni! 
Cár bige-lesen, 
geciben les rá. 
Ági cserben el, 
Egerbe csinál. 
Írta Gerinces Ábel, Csengeri Ábel, Berceli Ágnes és Rábi Csengele

Friday, February 12, 2010

Sztárolt eljárás

Map reduce az Oracle-ön belül, ez most a sztárolt eljárás.