Similarity evaluation among several benchmark handwritten latin digits datasets
This article aims to explore the association as well as the variation between the digit images
taken from multiple benchmark datasets, which is experimented and compared in different …
taken from multiple benchmark datasets, which is experimented and compared in different …
HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition
X Gao, XG Gao, J Rong, X Chen, X Liao… - arxiv preprint arxiv …, 2023 - arxiv.org
Within the realm of image recognition, a specific category of multi-label classification (MLC)
challenges arises when objects within the visual field may occlude one another, demanding …
challenges arises when objects within the visual field may occlude one another, demanding …
Fragmented handwritten digit recognition using grading scheme and fuzzy rules
The handwritten digit recognition issue turns into one of the well-known issues in machine
learning and computer vision applications. Numerous machine learning methods have been …
learning and computer vision applications. Numerous machine learning methods have been …