Search Results for author:
Found 5 papers, 2 papers with code
Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data
In this paper, we propose a Contrastive learning based MultiModal Alignment Network (CoMMANet) to align data from different sensors into a shared and discriminative manifold where class information is preserved.
Robust Semi-Supervised Classification using GANs with Self-Organizing Maps
The problem of discriminating outliers from inliers while maintaining classification accuracy is referred to here as the DOIC problem.
Outlier Detection through Null Space Analysis of Neural Networks
Specifically, many systems lack the ability to identify when outliers (e. g., samples that are distinct from and not represented in the training data distribution) are being presented to the system.
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
They learn a dictionary of target signatures that optimizes detection against a background using the Adaptive Cosine Estimator (ACE) and Spectral Match Filter (SMF).
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation
In this paper, we show that NCM can be used for calculating the uncertainty of the estimated endmembers with spatial priors incorporated for better unmixing.
