47 citations · 57 across the 12 of their papers we have counts for
6 papers · 1 filter
Improved Hyperspectral Anomaly Detection via Unsupervised Subspace Modeling in the Signed Cumulative Distribution Transform Domain
Abu Hasnat Mohammad Rubaiyat, Jordan Vincent, Colin Olson
Hyperspectral anomaly detection (HAD), a crucial approach for many civilian and military applications, seeks to identify pixels with spectral signatures that are anomalous relative…
Linear optimal transport subspaces for point set classification
Mohammad Shifat E Rabbi, Naqib Sad Pathan, Shiying Li +3
Learning from point sets is an essential component in many computer vision and machine learning applications. Native, unordered, and permutation invariant set structure space is ch…
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection
Mohammad Shifat E Rabbi, Abu Hasnat Mohammad Rubaiyat, Yan Zhuang +1
There exist growing interests in intelligent systems for numerous medical imaging, image processing, and computer vision applications, such as face recognition, medical diagnosis,…
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition
Yan Zhuang, Shiying Li, Mohammad Shifat-E-Rabbi +3
We present a new method for face recognition from digital images acquired under varying illumination conditions. The method is based on mathematical modeling of local gradient dist…
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
Mohammad Shifat E Rabbi, Yan Zhuang, Shiying Li +3
Deep convolutional neural networks (CNNs) are broadly considered to be state-of-the-art generic end-to-end image classification systems. However, they are known to underperform whe…
Radon cumulative distribution transform subspace modeling for image classification
Mohammad Shifat-E-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat +5
We present a new supervised image classification method applicable to a broad class of image deformation models. The method makes use of the previously described Radon Cumulative D…