One-Time Pad Strategy Combined With Dynamic Key Embedding and Multi-Level Cha…
Chaotic encryption is a potential scheme for the communication security of radio-over-fiber (RoF) system. In this paper, a one-time pad strategy combined with dynamic key embedding and multi-level …
A Wideband Balun-Based Microwave Device for Quantum Information Processing Wi…
We present a wideband balun-based microwave device for quantum manipulation of nitrogen-vacancy centers in diamond. The device employs a balun with multi-section Chebyshev impedance transformer to …
Correlation-Guided Updating Strategy for Feature Selection in Classification …
Classification data are usually represented by many features, but not all of them are useful. Without domain knowledge, it is challenging to determine which features are useful. Feature selection i…
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and…
It is quite laborious and costly to manually label LiDAR point cloud data for training high-quality 3D object detectors. This work proposes a weakly supervised framework which allows learning 3D de…
High-Efficiency Orbital Angular Momentum Beams Multiplexing System With Compa…
In recent years, mode-division multiplexing (MDM) has been intensively proposed to cope with the information capacity crisis. However, how to multiplex a large number of OAM modes efficiently with …
Low-Noise Frequency and Phase Locking of Yb-Doped Fiber Ring Cavity via Cavit…
The control bandwidth of the injection-locked system utilizing a DFB fiber laser and fiber ring cavity is analyzed to estimate system stability. Within the bandwidth of the injection lock, an elect…
OFDM Radar and Communication Joint System Using Opto-Electronic Oscillator Wi…
Orthogonal frequency division multiplexing (OFDM) signal is a superior dual-functional waveform for the integration of radar sensing and communication in intelligent transportation. But the sensiti…
Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling
Modeling the human structure is central for human parsing that extracts pixel-wise semantic information from images. We start with analyzing three types of inference processes over the hierarchical…
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis
Feature Extraction, Image Motion Analysis, Image Representation, Learning Artificial Intelligence, Matrix Algebra, Supervised Dimensionality Reduction, Sequence Data, Low Dimensional Subspace, Conv…
Cascaded Parsing of Human-Object Interaction Recognition
This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images. Considering the intrinsic complexity and structural nature of the task, we introduce a cascaded…
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