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) - identification (biology) , modal , computer science , segmentation , artificial intelligence , instrumentation (computer programming) , sensor fusion , object (grammar) , set (abstract data type) , computer vision , data mining , pattern recognition (psychology) , chemistry , botany , polymer chemistry , biology , programming language , operating system