GitHub

Dimensionality reduction, Data assimilation and Domain decomposition.

This project focuses on dimensionality reduction, data assimilation, and domain decomposition techniques applied to wildfire data processing. The main objectives are to test the performance of PCA and ...
GitHub

RuntimeError: Given groups=1, weight of size [32, 3, 3, 3], expected input[128, 32, 32, 3] to have 3 channels, but got 32 channels instead

Dear author, I uncomment lines 42-81 in the run_experiment.py file to get PCA projection file. I modify all_data_tensor = all_data_tensor.view(-1,3,32,32) since I run experiment on cifar10. # all_data ...
IEEE

A Flexible Non-linear PCA Encoder for Still Image Compression

Abstract: The main hindrance to develop a principal component analysis (PCA) encoder for image compression is the poor generalization ability of PCA. In this paper, we present a flexible ...
IEEE

Ear3D-PAF: PCA guided Adaptive Fusion Network for 3D Ear Point Cloud Reconstruction

Abstract: This study presents the Ear3D-PAF network, an advanced method for 3D ear point cloud reconstruction, addressing the challenges of data scarcity and complex structural geometry. The approach ...