搜索结果: 1-15 共查到“工学 sparse”相关记录38条 . 查询时间(0.093 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed sparse identification theory and method
分布式 稀疏识别 理论方法
2023/11/29
In this talk, we will consider the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochasti...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Accelerating Decentralized Deep Training with Sparse and Effective Topologies
稀疏有效 拓扑加速 分散式 深度训练
2023/11/13
Decentralized optimization algorithms save remarkable communication overheads in distributed deep learning since each node averages locally with neighbors. The network topology connecting all nodes de...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Graph Refinement via Simultaneously Low-rank and Sparse Approximation
低秩 稀疏近似 图细化
2023/4/18
Graphs play an important role in many fields of machine learning such as clustering. Many graph-based machine learning approaches assume that the graphs have hidden group structures. However, the grou...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Geometry and recovery of spectral-sparse signals
频谱稀疏信号 几何 恢复
2023/4/26
Spectral-sparse signals are those sparse in the Fourier domain and are very common in wireless communications, radar, sonar, medical imaging and other applications. Their recovery from noisy, limited ...
清华大学殷柳国教授来中北大学信息与通信工程学院作“Generalized Sparse Codes for Non-Gaussian Channels: Code Design,Algorithms, and Applications”专题报告（图）
清华大学 殷柳国 中北大学信息与通信工程学院 广义随机编码 抗干扰 通信编码
2022/11/24
2022年6月17日下午，国家级人才称号获得者，清华大学殷柳国教授来中北大学信息与通信工程学院作“Generalized Sparse Codes for Non-Gaussian Channels: Code Design,Algorithms, and Applications”专题报告。本次专题报告是南邮80周年校庆之际通信与信息工程学院举办的第10次“通院学术大讲堂”校庆系列报告会。本次报...
HYBRID GEOMETRIC CALIBRATION METHOD FOR MULTI-PLATFORM SPACEBORNE SAR IMAGE WITH SPARSE GCPS
SAR image geometric calibration R-D model multi-platform TerraSAR-X TanDEM-X Gaofen-3
2018/5/15
Geometric calibration is able to provide high-accuracy geometric coordinates of spaceborne SAR image through accurate geometric parameters in the Range-Doppler model by ground control points (GCPs). H...
中国地质大学科学技术发展院陈略峰, 吴敏等自动化学院 Information Sciences, 2018. Softmax Regression Based Deep Sparse Autoencoder Network for Facial Emotion Recognition in Human-Robot Interaction
深度；学习；情感；识别；理解；计算；智能；领域
2021/10/21
近日，中国地质大学自动化学院复杂系统先进控制与智能自动化湖北省重点实验室情感计算团队，有关“基于深度学习的情感识别与理解”研究成果发表在计算智能领域国际重要期刊《Information Sciences》上。该文第一作者为自动化学院陈略峰老师，通讯作者为自动化学院吴敏教授。
SCENE CLASSFICATION BASED ON THE SEMANTIC-FEATURE FUSION FULLY SPARSE TOPIC MODEL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
Scene classification Fully sparse topic model Semantic-feature Fusion Limited training samples High spatial resolution
2016/11/23
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION
Hyperspectral image nonlinear processing spatial max pooling SSC kernel
2016/7/28
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
CLOUD REMOVAL FROM SENTINEL-2 IMAGE TIME SERIES THROUGH SPARSE RECONSTRUCTION FROM RANDOM SAMPLES
Sentinel-2 Clouds Image Time Series Image processing Pre-processing
2016/7/27
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose,...
Network coding can significantly improve the transmission rate of communication networks with packet loss compared with routing. However, using network coding usually incurs high computational and sto...
BUILDING A CONSISTENT GEOMETRIC FRAME OVER SPARSE ISLANDS USING SPOT 5 DATA
Mapping DEM orthoimage Reference3D SPOT geometric accuracy
2016/1/3
Operating in panchromatic mode onboard SPOT 5, the HRS instrument has two telescopes, one pointing forward and one aft of the satellite. HRS is thus able to cover an area of 600 km x 120 km in a singl...
Adjustment with Sparse GCPs and the High-Resolution Satellite Imagery - for the Project of West China Topographic Mapping At 1:50, 000 Scale
Rational Function Model (RFM) High-Resolution Satellite Imagery
2015/12/18
High-resolution satellite images (HRSI) at sub-5m footprint such as IKONOS, IRS-P5 (CartoSat-1) and SPOT-5 HRG/HRS images are becoming increasingly available to the earth observation community and the...
IMAGE-BASED 3D SURFACE RECONSTRUCTION BY COMBINATION OF SPARSE DEPTH DATA WITH SHAPE FROM SHADING AND POLARISATION
Industry Metrology Application Polarization Three-dimensional Reconstruction Close Range Photogrammetry
2015/8/31
In this contribution we describe an image-based framework for 3D surface reconstruction by a combined analysis of reflectance,polarisation, and sparse depth data. An error functional consisting of sev...
IMAGE-BASED 3D SURFACE RECONSTRUCTION BY COMBINATION OF SPARSE DEPTH DATA WITH SHAPE FROM SHADING AND POLARISATION
Industry Metrology Application Polarization Three-dimensional Reconstruction Close Range Photogrammetry
2015/8/28
In this contribution we describe an image-based framework for 3D surface reconstruction by a combined analysis of reflectance,polarisation, and sparse depth data. An error functional consisting of sev...