| (* ::Package:: *) | |
| heron[side1_,side2_,base_]:=Module[{p,s},( | |
| p=(side1+side2+base)/2; | |
| s=Sqrt[p (p-side1)(p-side2)(p-base)])] | |
| getHeight[side1_,side2_,base_]:=Module[{cos,sin,h},( | |
| cos=(side1*side1+base*base-side2*side2)/(2*side1*base); | |
| sin=Sqrt[1-cos*cos]; |
| % Playing with the Stacked Denoising Auto-Encoder in the DeepLearnToolbox | |
| % (https://github.com/rasmusbergpalm/DeepLearnToolbox), | |
| % and trying to use it to extract features. | |
| %% Loads data | |
| load mnist_uint8; | |
| % I don't have much memory | |
| clear test_x test_y |
| % Generates test data | |
| nPoints = 20; | |
| nBins = 6; | |
| nImages = 72; | |
| shapeContexts = cell(nImages, 1); | |
| for i = 1:nImages | |
| sc = zeros(nPoints, nBins); | |
| for j = 1:nPoints |
| % The inner matrix can be computed by double centering the | |
| % squared distance matrix. | |
| % This script verifies this inner matrix actually refers to the | |
| % centroid of all points as the origin. | |
| approxeq = @(A, B) sum(sum(abs(A - B))) < 1e-6; | |
| nDims = 5; | |
| n = 4; | |
| X = rand(nDims, n); |
| { | |
| "cmd": ["D:\\Program Files\\Sublime Text 2.0.2\\Data\\Packages\\Haskell\\run-ghci.bat", "$file"], | |
| "file_regex": "^(...*?):([0-9]*):?([0-9]*)", | |
| "shell":true, | |
| "selector": "source.haskell" | |
| } |
| xRange = [2, 3] | |
| yRange = [4..6] | |
| lComprehension = [[(x, y) | y <- yRange] | x <- xRange] | |
| lOperator = xRange >>= (\x -> [yRange >>= \y -> [(x, y)]]) | |
| lNestedDo = do | |
| x <- xRange | |
| return $ do | |
| y <- yRange |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| /******** | |
| func(1, 1); -> 1 | |
| func(1, 3); -> 1 2 3 2 1 | |
| func(1, 6); -> 1 2 3 4 5 6 5 4 3 2 1 | |
| `func` should be implemented without any loop, if-statement or | |
| conditional operation. |
In cmd.exe,
> set CABAL="D:\Program Files (x86)\Haskell Platform\2013.2.0.0\lib\extralibs\bin"
> cd %CABAL%
> cabal install hakyll
cabal: The program ghc version >=6.4 is required but it could not be found.
That didn't make sense as the Haskell Platform on this computer was newly installed:
Here is the note for how I configured Matlab to build mex C/C++ extensions on 64-bit Windows 8:
At first, mex failed to find a compiler:
>> mex -setup
Please choose your compiler for building external interface (MEX) files:
Would you like mex to locate installed compilers [y]/n? y
Download OpenCV pre-built binaried from SourceForge;
Set the output path of self-extracting archive to D:\Bin, and all the files will be extracted to D:\Bin\opencv;
Copy cv2.pyd from %OPENCV%\build\python\2.7 to %PYTHON%\Lib\site-packages. Link in the OpenCV official site.
Run Python to check whether it's been installed:
Python 2.7.3 (default, Apr 10 2012, 23:31:26) [MSC v.1500 32 bit (Intel)] on win
32