Machine Learning

1. Why Should I Trust You?” Explaining the Predictions of Any Classifier.

Local Interpretable Model-agnostic Explanations (LIME). The overall goal of LIME is to identify an interpretable model over the interpretable representation that is locally faithful to the classier.

https://homes.cs.washington.edu/~marcotcr/blog/lime/

2. Plant Identification System based on a Convolutional Neural Network for the LifeClef 2016 Plant Classification Task

3. Introduction to SIFT (Scale-Invariant Feature Transformation)

4. http://www.cs.unc.edu/~lazebnik/spring09/