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Update README.md
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wang-chen authored Nov 23, 2017
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Expand Up @@ -4,18 +4,21 @@ This part requires the following WARD 1.0 dataset:

https://people.eecs.berkeley.edu/~yang/software/WAR/index.html

However, you may also measure the similarity of any signals.
For example, you may use it as:

lambda = 0.1
sigma = 0.2
x = randn(10)
y = randn(10)
z = randn(10)

correlator = kcc_train(x, lambda, sigma);

similarity_xy = kcc(y, correlator);
similarity_xz = kcc(z, correlator);


Unzip the databse to recognition folder, so that the directory looks like:

KCC
├───recognition
│ ├───matrix2latex
│ ├───natsortfiles
│ │ └───html
│ └───WARD1.0
│ ├───Subject1
│ ├───Subject10
│ ├───Subject11
│ ├───Subject12
│ ├───Subject13
| ...
└───tracking
└───utility

Then you may find some examples in the run_me.m file

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