47 citations · 57 across the 12 of their papers we have counts for
12 papers
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…
An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions
Akram Aldroubi, Rocío Díaz Martín, Ivan Medri +3
Time Series Classification (TSC) is an important problem with numerous applications in science and technology. Dissimilarity-based approaches, such as Dynamic Time Warping (DTW), a…
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…
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform
Abu Hasnat Mohammad Rubaiyat, Duy H. Thai, Jonathan M. Nichols +6
This paper presents a novel data-driven approach to identify partial differential equation (PDE) parameters of a dynamical system. Specifically, we adopt a mathematical "transport"…
The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images
Le Gong, Shiying Li, Naqib Sad Pathan +4
Here we describe a new image representation technique based on the mathematics of transport and optimal transport. The method relies on the combination of the well-known Radon tran…
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,…
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis
Shiying Li, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde
Transport-based metrics and related embeddings (transforms) have recently been used to model signal classes where nonlinear structures or variations are present. In this paper, we…
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
Abu Hasnat Mohammad Rubaiyat, Shiying Li, Xuwang Yin +3
This paper presents a new end-to-end signal classification method using the signed cumulative distribution transform (SCDT). We adopt a transport-based generative model to define t…
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…
Experimental Resilience Assessment of An Open-Source Driving Agent
Abu Hasnat Mohammad Rubaiyat, Yongming Qin, Homa Alemzadeh
Autonomous vehicles (AV) depend on the sensors like RADAR and camera for the perception of the environment, path planning, and control. With the increasing autonomy and interaction…