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Found 5 papers, 0 papers with code
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting
In this paper, we interact two modal data and propose a textual-knowledge-guided numerical feature discovery (TKNFD) method for short-term power demand forecasting.
ACQ: Improving Generative Data-free Quantization Via Attention Correction
This is always ignored and restricts the quantization performance.
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature
The forecasting result reveals that geographical features have the most significant impact on improving the load forecasting accuracy, in which temperature is the dominant feature.
Deep Template Matching for Offline Handwritten Chinese Character Recognition
Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks (CNN) provide an end-to-end solution in handwritten Chinese character recognition (HCCR) with great success.
Binary Classification
Offline Handwritten Chinese Character Recognition
+1
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Deep convolutional networks based methods have brought great breakthrough in images classification, which provides an end-to-end solution for handwritten Chinese character recognition(HCCR) problem through learning discriminative features automatically.
