<p>In <a href="https://github.com/mlpack/mlpack/pull/703#discussion_r74704075">src/mlpack/methods/edge_boxes/feature_extraction.hpp</a>:</p>
<pre style='color:#555'>> + * @param width Width Out Output Image.
> + * @param dst Output Image resized to (height, width)
> + */
> + void BilinearInterpolation(const MatType& src,
> + const size_t height,
> + const size_t width,
> + MatType& dst);
> +
> + /**
> + * Applies a separable linear filter to an Image
> + * @param InOutImage Input/Output Contains the input Image, The final filtered Image is
> + * stored in this param.
> + * @param kernel Input Kernel vector to be applied on Image.
> + * @param radius amount, the Image should be padded before applying filter.
> + */
> + void Convolution(CubeType &InOutImage, const MatType& Filter, const size_t radius);
</pre>
<p>Another picky comment, please use prefix const, also I know it's a matter of style, but I prefer to use type& parameter instead of type &parameter. For more details: <a href="https://github.com/mlpack/mlpack/pull/523/files/c92dd2fc6561b1cf40efb744dcc9233bc3675c91#r60094845">https://github.com/mlpack/mlpack/pull/523/files/c92dd2fc6561b1cf40efb744dcc9233bc3675c91#r60094845</a></p>
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