IEEE

LC-BERT: Dimensionality Reduction on BERT’s Vector Embeddings

Abstract: This work aims to raise the performance of sophisticated artificial intelligence models such as BERT by means of dimension reduction approaches. The BERT model calls for a lot of memory and ...
AZoM on MSN

Imaging silicon defects using Raman and PL multivariate imaging

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing ...
IEEE

Dimension Reduction for Hyperspectral Image Classification Based on Sparse Spectral Spatial Locality Preserving Projection

Abstract: As a dimensionality reduction method, local preserving projection (LPP) performs well in many high-dimensional data tasks, but there are some limitations in dimensionality reduction of ...