63 citations · 206 across the 10 of their papers we have counts for
10 papers
On the Connection of Generative Models and Discriminative Models for Anomaly Detection
Jingxuan Pang, Chunguang Li
Anomaly detection (AD) has attracted considerable attention in both academia and industry. Due to the lack of anomalous data in many practical cases, AD is usually solved by first…
PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
Si-Yuan Cao, Beinan Yu, Lun Luo +3
Multispectral and multimodal images are of important usage in the field of multi-source visual information fusion. Due to the alternation or movement of image devices, the acquired…
Distributed Variational Bayesian Algorithms Over Sensor Networks
Junhao Hua, Chunguang Li
Distributed inference/estimation in Bayesian framework in the context of sensor networks has recently received much attention due to its broad applicability. The variational Bayesi…
Learn to Sense: a Meta-learning Based Sensing and Fusion Framework for Wireless Sensor Networks
Hui Wu, Zhaoyang Zhang, Chunxu Jiao +2
Wireless sensor networks (WSN) acts as the backbone of Internet of Things (IoT) technology. In WSN, field sensing and fusion are the most commonly seen problems, which involve coll…
Online Learning Algorithms for Quaternion ARMA Model
Xiaokun Pu, Chunguang Li
In this paper, we address the problem of adaptive learning for autoregressive moving average (ARMA) model in the quaternion domain. By transforming the original learning problem in…
Distributed Variational Bayesian Algorithms for Extended Object Tracking
Junhao Hua, Chunguang Li
This paper is concerned with the problem of distributed extended object tracking, which aims to collaboratively estimate the state and extension of an object by a network of nodes.…
Normalized Total Gradient: A New Measure for Multispectral Image Registration
Shu-Jie Chen, Hui-Liang Shen
Image registration is a fundamental issue in multispectral image processing. In filter wheel based multispectral imaging systems, the non-coplanar placement of the filters always c…
A random algorithm for low-rank decomposition of large-scale matrices with missing entries
Yiguang Liu
A Random SubMatrix method (RSM) is proposed to calculate the low-rank decomposition of large-scale matrices with known entry percentage ρ. RSM is very fast as the floating-point op…
Soft Consistency Reconstruction: A Robust 1-bit Compressive Sensing Algorithm
Xiao Cai, Zhaoyang Zhang, Huazi Zhang +1
A class of recovering algorithms for 1-bit compressive sensing (CS) named Soft Consistency Reconstructions (SCRs) are proposed. Recognizing that CS recovery is essentially an optim…
Signal Propagation in Feedforward Neuronal Networks with Unreliable Synapses
Daqing Guo, Chunguang Li
In this paper, we systematically investigate both the synfire propagation and firing rate propagation in feedforward neuronal network coupled in an all-to-all fashion. In contrast…