Abstract: This paper proposes a new convolution layer implementation method for the parallel computation of high-dimensional matrices. It can accomplish global convolution or local convolution by ...

Abstract: Convolutional neural networks (CNNs) have emerged as one of the most successful machine learning technologies for image and video processing. The most computationally-intensive parts of CNNs ...

Time series classification is a basic task in the field of streaming data event analysis and data mining. The existing time series classification methods have the problems of low classification ...

Nowcasting was first proposed by Browning 1 in 1982, and it is mainly used in early warning of disasters like thunderstorms, severe convective weather, rainstorm, and snowstorm. Accurate short-term ...

A reference application demonstrating server-side image processing with WebAssembly using wasmCloud and photon-rs. With photon-rs, you are essentially doing pure linear algebra and matrix math ...

I just found a great resource for understanding convolutions in neural networks. Convolution – that's so 2010s! But the truth is that convolution is still the working horse for computer vision. The ...