sliding-window

问题 Sorry for the long post, but I have provided copy & paste sample data and a possible solution approach below. The relevant part of the question is in the upper part of the post (above the horizontal rule). I have the following table Dt customer_id buy_time money_spent ------------------------------------------------- 2000-01-04 100 11:00:00.00 2 2000-01-05 100 16:00:00.00 1 2000-01-10 100 13:00:00.00 4 2000-01-10 100 14:00:00.00 3 2000-01-04 200 09:00:00.00 10 2000-01-06 200 10:00:00.00 11

问题 I am looking for a fast way to compute a rolling-sum, possibly using Numpy. Here is my first approach: def func1(M, w): Rtn = np.zeros((M.shape[0], M.shape[1]-w+1)) for i in range(M.shape[1]-w+1): Rtn[:,i] = np.sum(M[:, i:w+i], axis=1) return Rtn M = np.array([[0., 0., 0., 0., 0., 1., 1., 0., 1., 1., 1., 0., 0.], [0., 0., 1., 0., 1., 0., 0., 0., 0., 0., 0., 1., 1.], [1., 1., 0., 1., 0., 0., 0., 1., 0., 0., 0., 0., 0.]]) window_size = 4 print func1(M, window_size) [[ 0. 0. 1. 2. 2. 3. 3. 3. 3.

问题 I'm trying to implement simple sliding window alogirithm on two-dimensional array in C# 3.0, I found this as very useful but it involves only single-dimensioal array. The post also includes the code for the algo, I'm totaly failed to use it for my senario... can any one suggest me how do I proceed? Scenario: (source: googlepages.com) The above image is 10X10 matrix and need get 3X3 matrix out it, using any algorithm (Sliding window would be greate). Red rectangle is a first set and green one

问题 i have a sliding window problem. specifically, i do not know where my window should start and where it should end. i do know the size of my interval/window. i need to find the start/end of the window that delivers the best (or worst, depending on how you look at it) case scenario. here is an example dataset: value | tstamp 100 | 2013-02-20 00:01:00 200 | 2013-02-20 00:02:00 300 | 2013-02-20 00:03:00 400 | 2013-02-20 00:04:00 500 | 2013-02-20 00:05:00 600 | 2013-02-20 00:06:00 500 | 2013-02-20

问题 I'm trying to remove comments and strings from a c file with c code. I'll just stick to comments for the examples. I have a sliding window so I only have character n and n-1 at any given moment. I'm trying to figure out an algorithm that does not use nested whiles if possible, but I will need one while to getchar through the input. My first thought was to while through find when n=* and (n-1)=/ then while through until n=/ and (n-1)=* , but considering this has nested whiles I feel it is

问题 Say there is a 2-column data frame with a time or distance column which sequentially increases and an observation column which may have NAs here and there. How can I efficiently use a sliding window function to get some statistic, say a mean, for the observations in a window of duration X (e.g. 5 seconds), slide the window over Y seconds (e.g. 2.5 seconds), repeat... The number of observations in the window is based on the time column, thus both the number of observations per window and the

问题 I am working on video surveillance application for detecting people. Currently I am implementing HOG descriptor as the detector. However, I have a problem regarding the sliding window technique. My code is only able to detect single person. I am using also Group Rectangles from MexOpen CV to creat multiple bounding boxes. Anybody has idea how to write sliding window technique to detect multiple object? Thank you. % Reading the image im = strcat ('C:\Users\Documents\MATLAB\HOG\HOG\images\16

问题 I don't have the package for nlfilter and I didn't quite follow this example. I have a really simple function fun and I want to apply it to a moving window of an array. The array is Nx1 , and I want to look at length k intervals, say. So for N=10 and k=3 and fun = @(x) min(x); I would get A = [13 14 2 14 10 3 5 9 15 8]; filter(A,k,fun) = [2 2 2 3 3 3 5 8]; Here I only want to look at indices 1,2,3 then 2,3,4 then ... then 8,9,10, so the final sequence is length 7. I can do this easy with a

问题 I'm using reactive extensions to collate data into buffers of 100ms: this.subscription = this.dataService .Where(x => !string.Equals("FOO", x.Key.Source)) .Buffer(TimeSpan.FromMilliseconds(100)) .ObserveOn(this.dispatcherService) .Where(x => x.Count != 0) .Subscribe(this.OnBufferReceived); This works fine. However, I want slightly different behavior than that provided by the Buffer operation. Essentially, I want to reset the timer if another data item is received. Only when no data has been

问题 I'm using reactive extensions to collate data into buffers of 100ms: this.subscription = this.dataService .Where(x => !string.Equals("FOO", x.Key.Source)) .Buffer(TimeSpan.FromMilliseconds(100)) .ObserveOn(this.dispatcherService) .Where(x => x.Count != 0) .Subscribe(this.OnBufferReceived); This works fine. However, I want slightly different behavior than that provided by the Buffer operation. Essentially, I want to reset the timer if another data item is received. Only when no data has been