論文閱讀：Time Series Shapelets: A New Primitive for Data Mining
shapele猜想 時間序列分類最簡單和穩健的方法是最近鄰算法，優點是沒有大量參數需要調整，缺點是我們無法深入瞭解一個特定的對象爲什麼被分到一個特定的類。 圖1顯示了兩類葉子的例子，蕁麻（刺蕁麻）和馬鞭草。這兩種植物通常被混淆。 爲了區分兩種葉子，顏色和大小的可變性使類之間的差異性很小，我們最大的希望是基於葉子的形狀。但從總體來看還是相差很細微。嘗試將每個葉子轉換成一維表示，如圖2所示。 然而，使
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相關文章
- 1. 文獻閱讀 - Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping
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- 9. 【論文閱讀】A Simple Pooling-Based Design for Real-Time Salient Object Detection
- 10. 論文閱讀：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation