I am using 9 files with different data (proteins per tissue data). Each file represents a different tissue and has values of proteins expression (as numbers). I am trying to merge the data into one da
(be sure to check out the EDIT at the end of the post 开发者_C百科before reading too deeply into the source)
I am currently using OpenCV\'s built-in patch-based histogram back projection (cv::calcBackProjectPatch()) to identify regions of a target material in an image. With an image resolution of 640 x 480 a
I have a following matrix [500,2], so we have 500 rows and 2 columns, the left one gives us the index of X observations, and the right one gives the probability with which this X comes true, so - a ty
does someone know as superimpose a gaussian curve over different bins of a histogram plot? My aim is to highlight the trend of data. Thanks. Lucio
Some questions of using the opencv CvSVM What kind of svm is it using? Is it using svmligh开发者_如何转开发t? OpenCV2.2 has svmlight, but I cannot find much references to it.
s=array1 #user inputs an array with text in it n=len(s) f=arange(0,26,1) import collections dict = collections.defaultdict(int)
for x in letters: frequency[x]+=1 for x in frequency: print x,frequency[x],frequency[x]/float(n) Sorry but I\'m fairly new to programming and everything and I\'m trying to get the output to be sorte
I would like to know how I can re-order the columns of a histogram in a way that makes sense to my data. This example illustrates what I\'m trying to do.
I have two lists, x and y. x contains the alphabet A-Z and Y contains the frequency of them in a file.
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