{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Beaver_01\n", "\n", "| Approach | Configuration | Best AUC |\n", "| --- | --- | ---: |\n", "| 1a - Basic Frame Differencing | - | 0.7335 |\n", "| | $\\sigma=2$ | 0.8658 |\n", "| | $\\sigma=4$ | 0.8747 |\n", "| 2 - Background Estimation | No Lapse | 0.7524 |\n", "| 3 - BOW | $k=2048, kp=30$ | 0.7741 |\n", "| 4 - Autoencoder | Deep +Noise +Sparse KDE | 0.9209 |" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "## Marten_01\n", "\n", "| Approach | Configuration | Best AUC |\n", "| --- | --- | ---: |\n", "| 2 - Background Estimation | No Lapse | 0.5832 |\n", "| 3 - BOW | $k=1024, kp=30$ | 0.7099 |\n", "| 4 - Autoencoder | Deep +Noise +Sparse KDE | 1.0000 |" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] } ], "metadata": { "language_info": { "name": "python" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }