Search Results for author:
Found 3 papers, 1 papers with code
A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations
The current process for cyclone detection and intensity estimation involves physics-based simulation studies which are time-consuming, only using image features will automate the process for significantly faster and more accurate predictions.
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights
In LoRAE, we incorporated a low-rank regularizer to adaptively reconstruct a low-dimensional latent space while preserving the basic objective of an autoencoder.
DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
Estimating the number of clusters and cluster structures in unlabeled, complex, and high-dimensional datasets (like images) is challenging for traditional clustering algorithms.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
