IEEE

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Abstract: Kalman filter (KF) based methods for multi-object tracking (MOT) make an assumption that objects move linearly. While this assumption is acceptable for very short periods of occlusion, ...
IEEE

Online Optimal Service Selection, Resource Allocation and Task Offloading for Multi-Access Edge Computing: A Utility-Based Approach

Abstract: Multi-access edge computing promises satisfactory user experience by offloading tasks to the MEC server deployed at the network edge. However, since the MEC server is often resource-limited ...
IEEE

Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification

Abstract: Minimizing the classification error rate and the number of selected features are the two major objectives of feature selection, and they are often in ...
IEEE

MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection

Abstract: Feature selection is a crucial step in data mining to enhance model performance by reducing data dimensionality. However, the increasing dimensionality of collected data exacerbates the ...
IEEE

A Novel Deep Learning Framework With Meta-Heuristic Feature Selection for Enhanced Remote Sensing Image Classification

Abstract: We propose a novel deep learning architecture, called XcelNet17, for image classification in remote sensing. Comprising fourteen convolutional and three fully connected layers, XcelNet17 ...