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Deep Open Representative Learning for Image and Text Classification
(2020)
An essential goal of artificial intelligence is to support the knowledge discovery process from data to the knowledge that is useful in decision making. The challenges in the knowledge discovery process are typically due ...
Multi-Modal Ocular Recognition in presence of occlusion in Mobile Devices
(University of Missouri -- Kansas City, 2018)
The existence eyeglasses in human faces cause real challenges for ocular, facial,
and soft-based (such as eyebrows) biometric recognition due to glasses reflection, shadow,
and frame occlusion. In this regard, two operations ...
Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics
(2020)
Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its ...
An Approach For Scalable First-Order Rule Learning On Twitter Data
(2021)
Scalable Rule Learning (SRLearn) is a scalable divide-and-conquer approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large ...
ICE-MILK: Intelligent Crowd Engineering using Machine-based Internet of Things Learning and Knowledge Building
(2022)
The lack of proper crowd safety control and management often leads to spreading human casualties and infectious diseases (e.g., COVID-19). Many Machine Learning (ML) technologies inspired by computer vision and video ...