Environmental images often contain mixed elements, such as forests bordering water bodies or urban areas with vegetation, which complicates the classification task. In this paper, we propose a novel ...

We propose a Hybrid Quantum Classical Algorithm (HQCA) for image classification using a Quantum Kernel which is efficient to produce than a traditional kernel for performing the kernel trick required ...

Chandra, M. and Bedi, S. (2021) Survey on SVM and Their Application in Image Classification. International Journal of Information Technology, 13, 1-11.

Abstract This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising ...

IMAGE-CLASSIFICATION USING SVM Image classification is a multiclass classification. We have four classes names as dog (1), cat (0), horse (3), human being (3). Our SVM is binary classifier which means ...

--- title: "Creating a simple binary SVM classifier with Python and Scikit-learn" date: "2020-05-03" categories: - "frameworks" - "svms" tags: - "classification" - "classifier" - "python" - ...