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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...
Decentralised ledgers are a prime application case for consensus protocols. Changing sets of validators have to agree on a set of transactions in an asynchronous network and in the presence of Byzanti...
A Refinement of “A Key-recovery Attack on 855-round Trivium" From CRYPTO 2018
Trivium Nullification Technique Polynomial Reduction
2018/11/5
At CRYPTO 2018, we proposed a method to reduce the Boolean polynomial of 855-round Trivium. By multiplying a polynomial reduction factor, the output Boolean polynomial is simplified. Based on this met...
APPLICATION OF DEEP LEARNING IN GLOBELAND30-2010 PRODUCT REFINEMENT
GlobeLand30-2010 Deep learning Google Earth Training sample set High resolution images
2018/5/15
GlobeLand30, as one of the best Global Land Cover (GLC) product at 30-m resolution, has been widely used in many research fields. Due to the significant spectral confusion among different land cover t...
AUTOMATIC LARGE-SCALAE 3D BUILDING SHAPE REFINEMENT USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
Conditional generative adversarial networks (cGANs) Digital Surface Model 3D scene refinement 3D building shape
2018/6/4
Three-dimensional building reconstruction from remote sensing imagery is one of the most difficult and important 3D modeling problems for complex urban environments. The main data sources provided the...
A Survey and Refinement of Repairable Threshold Schemes
threshold schemes repairability combinatorial designs
2017/11/29
We consider repairable threshold schemes (RTSs), which are threshold schemes that enable a player to securely reconstruct a lost share with help from their peers. We summarise and, where possible, ref...
REFINEMENT METHOD FOR RESIDENTIAL AREA REVISION USING REMOTE SENSING IMAGE AND GIS DATA IN EARTHQUAKE RISK ASSESSMENT
Earthquake Disaster Risk Assessment Residential Area Revision Remote Sensing
2016/11/30
This paper proposes an automatic approach for residential areas revision by means of analysing the correlation between the residential area and the topographic and geographical factors. The approach c...
AN AUTOMATIC OPTICAL AND SAR IMAGE REGISTRATION METHOD USING ITERATIVE MULTI-LEVEL AND REFINEMENT MODEL
SAR images image registration multi-features multi-measures visual saliency model iteration strategy
2016/11/23
Automatic image registration is a vital yet challenging task, particularly for multi-sensor remote sensing images. Given the diversity of the data, it is unlikely that a single registration algorithm ...
REFINEMENT OF STEREO IMAGE ANALYSIS USING PHOTOMETRIC SHAPE RECOVERY AS AN ALTERNATIVE TO BUNDLE ADJUSTMENT
Stereo Image Analysis Shape from Shading Bundle Adjustment DEM 67P/Churyumov-Gerasimenko
2016/11/8
Topographic mapping, e.g. the generation of Digital Elevation Models (DEM), is of general interest to the remote sensing community and scientific research. Commonly, photogrammetric methods, e.g. ster...
POINT CLOUD REFINEMENT WITH A TARGET-FREE INTRINSIC CALIBRATION OF A MOBILE MULTI-BEAM LIDAR SYSTEM
LIDAR Intrinsic Calibration Mobile Mapping 3D Automatic Computer Processing Velodyne
2016/7/27
LIDAR sensors are widely used in mobile mapping systems. The mobile mapping platforms allow to have fast acquisition in cities for example, which would take much longer with static mapping systems. Th...
AN IMPROVED SNAKE MODEL FOR REFINEMENT OF LIDAR-DERIVED BUILDING ROOF CONTOURS USING AERIAL IMAGES
Building Roof Contour Refinement Aerial Images Snake Model Greedy Algorithm
2016/7/27
Building roof contours are considered as very important geometric data, which have been widely applied in many fields, including but not limited to urban planning, land investigation, change detection...
Refinement of Urban Digital Elevation Models from Very High Resolution Stereo Satellite Images
VHR satellite data stereo images digital surface models optimization dense stereo matching occlusion mask blunder elimination
2016/1/25
Digital elevation models (DEM) of high resolution and high quality are required for many applications like urban modeling, readiness for
catastrophes or disaster assessment. A good source for the de...
Geometric Refinement of LIDAR Roof Contours Using Photogrammetric Data and Markov Random Field Model
Digital Photogrammetry Building Reconstruction Spatial Analysis
2015/12/16
In this paper, a methodology is proposed for the geometric refinement of LiDAR building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology...
A Multi-Photo Least Squares Matching Algorithm for Urban Area DEM Refinement Using Breaklines
DEM least squares adjustment least squares matching breaklines occlusion
2015/12/4
High quality digital elevation models (DEMs) are required for a large number of urban applications such as; telecommunication, urban development, and city planning and management. Sudden changes in su...
MODEL REFINEMENT BY INTEGRATED PROCESSING OF LASER SCANNING AND PHOTOGRAMMETRY
LIDAR Point Cloud LASERMAP Modeling Facade Urban
2015/10/8
For tasks such as the generation of realistic visualizations from pedestrian viewpoints in virtual reality and multimedia applications,
urban models extracted from airborne data are too coarse and t...