pattern-recognition

How to input the image to the neural network?

蹲街弑〆低调 提交于 2019-11-27 09:52:01
问题 I understand how neural networks work, but if I want to use them for image processing like actual character recognition, I can't understand how can I input the image data to the neural net. I have a very big image of an A letter. Maybe I should try to get some info/specifications from the image and then use a vector of values of that specification? And they will be the input for the neural net? Who has already done such a thing, can you explain how to do this? 回答1: The easiest solution would

Open source audio pattern recognition (finger printing) [closed]

前提是你 提交于 2019-11-27 09:47:00
问题 Is there any open source audio fingerprinting solution that provides a "Shazam like" solution? Shazam uses the commercial solution from Landmark digital but I am looking for an alternative (even if inferior in accuracy and performance) open source solution. Any one knows anything about such implementation or even of a published not implemented algorithm? 回答1: echoprint looks like a solid alternative to commercial libs. for speech recognition: CMUSphinx OpenEars we only tested echoprint and so

Finding the longest repeated substring

半城伤御伤魂 提交于 2019-11-27 04:37:39
问题 What would be the best approach (performance-wise) in solving this problem? I was recommended to use suffix trees. Is this the best approach? 回答1: Have a look at http://en.wikipedia.org/wiki/Suffix_array as well - they are quite space-efficient and have some reasonably programmable algorithms to produce them, such as "Simple Linear Work Suffix Array Construction" by Karkkainen and Sanders 回答2: Check out this link: http://introcs.cs.princeton.edu/java/42sort/LRS.java.html /********************