added readme and original files for EVM

scripts/evm/README.md

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+This is an implementation of the Extreme Value Machine by Rudd et al., with adaptation for online recognition and using the code with the Multi-modal Long-Term User Recognition Dataset.  
+
+Dependencies:
+
+```
+    numpy
+    libmr
+    scikit-learn
+    scipy
+```
+
+These can be installed via:
+
+```
+    pip install numpy
+    pip install libmr
+    pip install scikit-learn==0.20
+    pip install scipy
+```
+
+Please cite the following papers when using this code:
+
+ * Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer and Terrance E. Boult (2018), "The Extreme Value Machine" in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 762-768, [https://doi.org/10.1109/TPAMI.2017.2707495](DOI:10.1109/TPAMI.2017.2707495)
+ * Bahar Irfan, Michael Garcia Ortiz, Natalia Lyubova, and Tony Belpaeme (under review), "Multi-modal Open World User Identification", ACM Transactions on Human-Robot Interaction (THRI).
+
+