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Closed 10 years ago.
The US census for 1930 is available online as a series of large pdfs. Sadly, as far as I can see, there is no free service that has also run OCR on it. There are, on the other hand, a lot of online examples of successful OCR done by "enthusiastic amateurs". So, let's start at the beginning.
For example, a single page can be seen at http://i47.tinypic.com/2i7tt8k.png, and here is another one:
What would be a good way to extract the different words from the image so that one can start to try to train a system to recognise them? Ultimately I am seeing this as a tricky machine learning problem.
You can download the entire image files from http://archive.org/details/newyorkcensus00reel1475 and associated links.
Related
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Closed 10 years ago.
I know that AI is vast field and there are many algorithms which exist there.
I have tried learning from wikipedia but thats too much math stuff which i didn't understand.
Is there any place from where i can find the 7-8 lines of brief introduction on each algorithm and which can tell me that for which type of problems we can use which algorithm.
E,g something like IF we need to find some shortest route t0o some destination then we can use shortest path algorithm. Currently there are so much variery of fields like Bayesian methods , meakov chain models , optimization algorithms which i am not able to get what type of proeblems can be solved by them.
I jsut want to know what athey are capable of doi ng rather than hard core math stuff which always goes on the top of my head
aaai.org has some good introductory articles.
http://aitopics.net/AIOverview
machine learning 101: https://stackoverflow.com/questions/598726/overwhelmed-by-machine-learning-is-there-an-ml101-book/598772#598772
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Closed 10 years ago.
I've already released several app-books for children and the number of books is quite big.
What I want to do is create a book-stand (like news stand in iOS) and get the book together.
I think there is no way to get my apps in one app(the book-stand...) so I'm trying to remake all my previous work(the app-books) and create new app(book stand).
However, each app-book has its own interactive objects so I have no idea how to do this.
Is there any good document or any tips for this?
Can your books be made via iBooks Author? How are they interactive? If you have to go down the custom store route, I would look at epub and HTML5.
Check out the Baker Framework or HPub. Also check out various interactive PDF SDKs out there.
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Closed 10 years ago.
I've been trying to find a good tutorial on how to program randomized tile generation (2D). However it seems that i cannot find any proper tutorials on that.
Is there any books and/or websites with proper tutorials on how to program it and the math behind it?
I know this is not a programming question per se however it is programming related, so hopefully someone can help me out with a link or two.
A good introduction to random terrains
Very basic 2D terrain tutorial
And .this one i found a little more confusing, but it has a lot
of example code.
But remember if you use other people's code give them credit :) hope these help.
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Closed 10 years ago.
I am writing a rails application with lots of registered users, interactions and generated content. Can anyone recommend some techniques or guidelines for fighting inappropriate content and spam, for example for comments, images and that kind of content?
I stared with "report" link for me to review content later and wanted to introduce default_scope's for models I think that default_scope isn't the best idea
You could look at the concept of Classifier. Here's a short list of Ruby related links:
Bayes Classification in Ruby
Naive Bayesian Classifiers and Ruby
Ruby classifier gem
Just a starting point. The topic is huge.
Have a look at captcha its not a complete solution, but would reduce spam significantly
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Closed 9 years ago.
I'm trying to implement software which automatically detects nude images. Hoping to do this through openCV. What do you think of the possibility and the best algorithm that can be used? Any examples would be highly appreciated.
Depending on how accurate it needs to be you could just define a reasonable colour space that covers flesh tones, and then have some % threshold whereby if the flesh tone pixel count exceeds this % threshold then it may well be a nude image.
You may want to keep an eye on this site. This is what chatroulette uses. It targets, ahem selective nudity, but it may be related to what you're after.
There's a downloadable demo (so far, without source).
Have you considered a neural-network approach? What you're asking for sounds like a machine-learning application.