David Ha

3 papers and 45 indexed citations i.

David Ha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, David Ha has authored 3 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in David Ha’s work include Machine Learning and Data Classification (1 paper), Vehicle License Plate Recognition (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). David Ha is often cited by papers focused on Machine Learning and Data Classification (1 paper), Vehicle License Plate Recognition (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). David Ha collaborates with scholars based in Japan, South Korea and United States. David Ha's co-authors include Miho Ohsaki, John Canny, Shigeru Katagiri, Forrest Huang and Jeffrey Nichols and has published in prestigious journals such as Image and Vision Computing and Journal of Signal Processing Systems.