Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...

References [1] Sparse graph cascade multi-kernel fusion contrastive learning for microbe–disease association prediction. Expert Systems with Applications (2024). [2] Predicting potential microbe ...

HLS Kernel Code (lstm.cpp, lstm.h, layers.hpp, parameters.h, activ_functions.hpp): lstm.cpp/.h: Defines the top-level HLS kernel function lstm. It orchestrates the dataflow between memory (via AXI ...

This project applies Linear PCA, Kernel PCA (RBF and Polynomial), Variational Autoencoder (VAE), and β-VAE to MNIST digits 4 and 9 for dimensionality reduction and reconstruction. Tasks. Data ...

There's a kernel of a good idea there. I mean, I've been shitting on Harvard long before he was. JAKE TAPPER: You went to Cornell. MAHER: That's not why.

Comedian Bill Maher touted some common ground with President Donald Trump during his Friday evening TV show, saying the White House's targeting of Harvard University is a "kernel of a good idea ...

Accurate diagnosis of cancer subtypes is a great guide for the development of surgical plans and prognosis in the clinic. Raman spectroscopy, combined with the machine learning algorithm, has been ...