AF: An Association-Based Fusion Method for Multi-Modal Classification
Multi-modal classification (MMC) aims to integrate the complementary information from different modalities to improve classification performance. Existing MMC methods can be grouped into two catego…
Innovation and Demonstration of a New CWDM and Circulator Integrated Semi-Act…
In response to emerging 5G fronthaul technology needs and low-cost scale deployment requirements, a novel CWDM and Circulator Integrated Semi-active system for 5G fronthaul is proposed. The propose…
A Reliable Anti-Interference Probe Based on Fluorescence Intensity Ratio Tech…
In this paper, a reliable anti-interference probe based on fluorescence intensity ratio technique is proposed for cryogenic temperature detection in refrigeration process, the sensing unit of which…
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skele…
Person re-identification (Re-ID) via gait features within 3D skeleton sequences is a newly-emerging topic with several advantages. Existing solutions either rely on hand-crafted descriptors or supe…
An Evolutionary Multitasking Method for Multiclass Classification [Research F…
As an important research topic of machine learning, multiclass classification has wide applications ranging from computer vision to bioinformatics. A variety of multiclass classification algorithms…
Equivalent Formulations of the Oxygen Depletion Problem, Other Implicit Movin…
The oxygen depletion problem is an implicit moving boundary value problem. The dynamics allow topological changes in the moving boundary. We show several mathematical formulations of this model fro…
One-Shot Imitation Drone Filming of Human Motion Videos
Imitation learning has recently been applied to mimic the operation of a cameraman in existing autonomous camera systems. To imitate a certain demonstration video, existing methods require users to…
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regul…
Natural policy gradient (NPG) methods are among the most widely used policy optimization algorithms in contemporary reinforcement learning. This class of methods is often applied in conjunction wit…
All-Optical Cross-Connection of Cylindrical Vector Beam Multiplexing Channels
The achievement of cylindrical vector beam (CVB) multiplexing has shown advantages in enlarging communication capacities and all-optical interconnections. While various mode transformation technolo…
A Sagnac Interferometer Ultraviolet Sensor Based on ZnO-Coated No-Core Fiber
A Sagnac interferometer based optical fiber ultraviolet (UV) sensor is theoretically proposed and experimentally demonstrated in this work. A layer of ZnO film was deposited upon the surface of a s…
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