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Closed 10 years ago.
I am looking for a book where some monocular/visual SLAM is described and implemented.
Can you list and recommend some?
I'd like to use OpenCV but that is not a requirement.
I don't know of a book with a description of such an algorithm, but there's a complete open source implementation (in C++) of a vslam system available as part of the Robot Operating System. It uses SURF descriptors and vocabulary trees for place recognition, and bundle adjustment for SLAM. It does use OpenCV heavily as it's made by the same people. See the website here. I can't say for sure as they don't mention and I haven't looked in great detail, but their implementation seems to be based on, or at least is similar to, this paper.
Edit: The paper linked above was actually written by the people who implemented the vslam system given above, it appears. So it is definitely a good resource for understanding it.
I don't know about a book, but maybe PTAM can be useful. The ISMAR 2007 paper by Klein has a description about the system and the source code is available so you can check the details.
Of course, PTAM is just a (good) method in the SLAM field.
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 need to split text into sentences. I'm currently playing around with OpenNLP's sentence detector tool. I've also heard of NLTK and Stanford CoreNLP tools. What is the most accurate English sentence detection tools out there? I don't need too many NLP features--only a good tool for sentence splitting/detection.
I've also heard about Lucene...but that may be too much. But if it has a kick-ass sentence detection module, then I'll use it.
NLTK includes an implementation of the Punkt tokenizer described in this paper. I don't know if it's the absolute best around but it's very very good, it's lightweight and easy to use, and it's free.
check lingpipe implementation http://alias-i.com/lingpipe/docs/api/com/aliasi/sentences/IndoEuropeanSentenceModel.html
Their model quite powerful, and easy to implement - check few pre/post rules(aka regexps) at any possible sentence split and thats all. I found it working better then one in GATE and OpenNLP.
There are another open source project which support this heuristic model as example, http://code.google.com/p/graph-expression/wiki/SentenceSplitting
Perl is a text processing language that is an excellent and simple resource for text mining. It has absolutely no problem doing sentence splitting.
www.perl.org
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Closed 11 years ago.
I am looking at The Special Effects In Picasa article.
Where can I find the following:
C/C++ or Java open source library to do it
Good books and/or articles to learn the algorithms how to do it myself
Thanks in advance for your help.
You can achieve most of the effects on that page by color manipulation (white balance) and spatial filtering.
Before you go down the path of using libraries to achieve this, I recommend playing around with image manipulation software like GIMP and trying to replicate the effects. After you're sure you know what you're doing, go ahead and try and code it up.
For libraries, have a look at opencv. There are also Java wrappers for that library if that is your language of choice (Java has its own imaging libraries as well, but I haven't used them). For books, my personal favorite is Gonzalez & Woods -- the first few chapters will get you started. For articles, Google is your friend.
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Closed 10 years ago.
I'm looking for a solution for collaborative filtering in rails or even possible examples. So far I have only found acts_as_recommendable which looks useful but I noticed it hasn't had any updates in the last 2 years.
Does anyone know of any other solutions and/or examples?
Have you evaluated Apache Mahout? It is a Java based solution, with HTTP access to recommendation engine.
Reference:
Introducing Mahout
This pertains to the examples part of your question, as both the libraries mentioned below are in Java.
The article referenced in above answer, written by Apache Mahout-Taste library author, has neat examples, source code of the examples( using 2.5GB wikipedia data) , and an excellent packaging to run and see those examples in action, in a few minutes.
Apache Mahout-Taste
The specific section is Building a recommendation engine
Here is another open source recommendation engine.
easyrec
In 2013, there's the ActiveRecord Reputation System gem by Twitter. There's also a free RailsCast on the topic.
here is a 50 line recommendation system in Ruby: http://www.igvita.com/2007/01/15/svd-recommendation-system-in-ruby/
there is one link there which doesn't work (when he says "mathies click here" it points to Using linear algebra for intelligent information retrieval by Berry et al.: http://www2.denizyuret.com/ref/berry/berry95using.pdf )
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Closed 11 years ago.
I need a good stemming algorithm for a project I'm working on. It was suggested that I look at the Porter Stemmer. When I checked out the page on the Porter stemmer I found that it is deprecated now in favor of the "Snowball" stemmer.
I need a good stemmer, but I can't really spend significant time implementing (or optimizing) my own. What is the best "off the shelf", freely available stemmer? Are there any non-free stemmers available for a reasonable price? Or, is the Snowball stemmer my best bet?
The Porter2 stemmer is the one I've decided to go with. It seemed the porter stemmer was the standard, but when I found the page by the author he recommended the "Snowball (Porter2)" stemmer. There is a C port link on this page.
It really depends on how you're planning to apply it. The Natural Language Toolkit (http://nltk.sourceforge.net) has a number of stemmers implemented in it that should be able to handle most applications. I prefer the Morphy stemmer.
Of course, it's available in Python, so if you're working with another language, you can always look through the code to glean the algorithm and transfer it to your language of choice. Python is highly readable.