analysis

I'm trying to figure out the time complexity of a function that I wrote (it generates a power set for a given string): public static HashSet<string> GeneratePowerSet(string input) { HashSet<string> powerSet = new HashSet<string>(); if (string.IsNullOrEmpty(input)) return powerSet; int powSetSize = (int)Math.Pow(2.0, (double)input.Length); // Start at 1 to skip the empty string case for (int i = 1; i < powSetSize; i++) { string str = Convert.ToString(i, 2); string pset = str; for (int k = str.Length; k < input.Length; k++) { pset = "0" + pset; } string set = string.Empty; for (int j = 0; j <

I have a Silverlight project with a generated Reference.cs file where the service reference is in. The class is attributed with [GeneratedCode] and in the project configuration the code analysis on generated code is disabled (Release and Debug). What have I done wrong? Maybe you should try the solutions that works for StyleCop: 1) Put ".Designer.cs" to the end of the name of the file you don’t want StyleCop to check. Or call the the class, and the file containing it, "NativeMethods". Make sure you also uncheck "Analyze designer files" in StyleCop settings. In this case the whole file will be

I need a little help on an image analysis algorithm in Java. I basically have images like this: So, as you might guessed, I need to count the lines. What approach do you think would be best? Thanks, Smaug A simple segmentation algorithm can help you out. Heres how the algorithm works: scan pixels from left to right and record the position of the first black (whatever the color of your line is) pixel. carry on this process unless you find one whole scan when you don't find the black pixel. Record this position as well. We are just interested in the Y positions here. Now using this Y position

Is there any Ruby gem or else for text analysis? Word frequency, pattern detection and so forth (preferably with an understanding of french) Tilo the generalization of word frequencies are Language Models, e.g. uni-grams (= single word frequency), bi-grams (= frequency of word pairs), tri-grams (=frequency of world triples), ..., in general: n-grams You should look for an existing toolkit for Language Models — not a good idea to re-invent the wheel here. There are a few standard toolkits available, e.g. from the CMU Sphinx team, and also HTK. These toolkits are typically written in C (for