IEEE

MSCC-ViT:A Multiscale Visual-Transformer Network Using Convolution Crossing Attention for Hyperspectral Unmixing

Abstract: Deep-learning-based methods are increasingly being applied in hyperspectral image unmixing (HSU) tasks, among which the transformer model has shown superior performance and faster processing ...
GitHub

ESC: Emulating Self-attention with Convolution for Efficient Image Super-Resolution

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...
IEEE

Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
GitHub

AI Code Generation Prompts Examples (Python)

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...