Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...

Many datasets can be represented by attributed graphs on which classification methods may of interest. The problem node has attracted the attention scholars due to its wide range applications. consists predicting nodes’ labels based their intrinsic features, features neighboring nodes and graph structure. Graph Neural Networks (GNN) have been widely used tackle this task. Thanks structure they ...

Transfer learning (TL), a crucial subfield of machine learning, aims to accomplish task in the target domain with acquired knowledge source domain. Specifically, effective adaptation (DA) facilitates delivery TL where all data samples two domains are distributed same feature space. In this paper, quantum implementations DA classifier presented speedup compared classical classifier. One implemen...

conclusions by comparing the results of classification using multiple classifier fusion with respect to using each classifier separately, it is found that the classifier fusion is more effective in enhancing the detection accuracy. objectives through the improvement of classification accuracy rate, this work aims to present a computer-assisted diagnosis system for malaria parasite. materials an...