GitHub

Stochastic Optimization for Sparse Logistic Regression

This repository implements and compares several optimization methods for regularized logistic regression, with a focus on stochastic algorithms, proximal regularization, and sparse models. The code is ...
GitHub

RISC-V Assembly Image Processing

Python acts as the orchestration layer, while a native C bridge launches the RISC-V executable through QEMU and returns results back to Python. The project is structured to demonstrate low-level ...
IEEE

Simultaneous Seismic Data Interpolation and Denoising Based on Nonsubsampled Contourlet Transform Integrating With Two-Step Iterative Log Thresholding Algorithm

Abstract: Seismic data interpolation and denoising play vital roles in obtaining complete and clean data in seismic data processing. Seismic data usually miss along various spatial axes and always mix ...
IEEE

PAdaptCD: Progressive Adaptive Thresholding and Bitemporal Image Augmentation for Semisupervised Change Detection

Abstract: Change detection (CD) aims to identify pixel-level changes of interest in multitemporal remote sensing images (RSIs). Due to the high cost of pixel-level annotations, semisupervised ...