37 citations · 51 across the 6 of their papers we have counts for
7 papers
Adversarial Motorial Prototype Framework for Open Set Recognition
Ziheng Xia, Penghui Wang, Ganggang Dong +1
Open set recognition is designed to identify known classes and to reject unknown classes simultaneously. Specifically, identifying known classes and rejecting unknown classes corre…
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
Dandan Guo, Bo Chen, Wenchao Chen +3
We develop a recurrent gamma belief network (rGBN) for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP), which characterizes the temporal dep…
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang, Bo Chen, Yulai Cong +3
To build a flexible and interpretable model for document analysis, we develop deep autoencoding topic model (DATM) that uses a hierarchy of gamma distributions to construct its mul…
Radar Accurate Localization of UAV Swarms Based on Range Super-Resolution Method
Tianyuan Yang, Jibin Zheng, Tao Su +1
In radar accurate localization of unmanned aerial vehicle (UAV) swarms, the high density, similar motion parameters, small radar cross-section (RCS), strong noise and far range put…
New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization
Ting Zhao, Hongwei Liu, Zexian Liu
In this paper, two new subspace minimization conjugate gradient methods based on regularization models are proposed, where a special scaled norm in regularization model…
An Improved Gradient Method with Approximately Optimal Stepsize Based on Conic model for Unconstrained Optimization
Zexian Liu, Hongwei Liu
A new type of stepsize, which was recently introduced by Liu and Liu (Optimization, 67(3), 427-440, 2018), is called approximately optimal stepsize and is quit efficient for gradie…