Open AccessMulti-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking
Author(s) -
Nicholas LaHaye
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.36837/chapman.000312
Subject(s) - modal , identification (biology) , computer science , sensor fusion , segmentation , artificial intelligence , instrumentation (computer programming) , object (grammar) , set (abstract data type) , computer vision , data mining , basis (linear algebra) , pattern recognition (psychology) , mathematics , chemistry , botany , polymer chemistry , biology , programming language , operating system , geometry
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