Images Sources

A list of the sources not already provided beneath their respective images follows:

• Paw favicon: https://www.flaticon.com/free-icons/paw

• Homepage banner image: https://www.purelypetsinsurance.co.uk/blogs/the-differences-and-similarities-between-cats-and-dogs/

• RGB Image: https://www.geeksforgeeks.org/matlab-rgb-image-representation/

• PCA vs LDA Image: https://towardsdatascience.com/the-article-on-pca-and-lda-you-were-looking-for-d234e03412f5

• All original cat and dog images are from our dataset: https://www.kaggle.com/c/dogs-vs-cats/data

Any other images are ©Iman El-Bawab, Ankita Mahajan and Shweta Pati.

References

• Supervised PCA Research Paper used for reference: https://web.eecs.umich.edu/~cscott/pubs/dsw2019lspca.pdf

• Feature Extraction: https://www.analyticsvidhya.com/blog/2019/08/3-techniques-extract-features-from-image-data-machine-learning-python/

• Edge & Object Extraction: https://towardsdatascience.com/background-removal-with-python-b61671d1508a

• Canny Edge Detection Algorithm: https://towardsdatascience.com/canny-edge-detection-step-by-step-in-python-computer-vision-b49c3a2d8123

• VGG-16: https://www.kaggle.com/code/perfectiods/dogs-vs-cats-two-cnn-models-vgg-16-resnet-50/notebook

• Decision Boundary Plots:

  • https://stackoverflow.com/questions/45075638/graph-k-nn-decision-boundaries-in-matplotlib

  • https://scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html#sphx-glr-auto-examples-gaussian-process-plot-gpc-iris-py

  • https://stackoverflow.com/questions/45108464/can-someone-explain-this-line-z-clf-predict-probanp-c-xx-ravel-yy-ravel