1 citations · 1 across the 4 of their papers we have counts for
5 papers
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
Joseph G. Zalameda, Megan A. Witherow, Alexander M. Glandon +2
Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data…
Hierarchical Bayesian Framework for Multisource Domain Adaptation
Alexander M. Glandon, Khan M. Iftekharuddin
Multisource domain adaptation (MDA) aims to use multiple source datasets with available labels to infer labels on a target dataset without available labels for target supervision.…
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information
Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon +3
Efficient processing of large-scale time series data is an intricate problem in machine learning. Conventional sensor signal processing pipelines with hand engineered feature extra…
Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne +2
This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in vision and speech applications. Recent advances in deep artificial n…
Glidar3DJ: A View-Invariant gait identification via flash lidar data correction
Nasrin Sadeghzadehyazdi, Tamal Batabyal, A. Glandon +4
Gait recognition is a leading remote-based identification method, suitable for real-world surveillance and medical applications. Model-based gait recognition methods have been part…