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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：Sparse Tensor Optimization Approaches for Traffic Flow Prediction, Anomaly Detection and Video Surveillance
交通流预测 异常检测 视频监控 稀疏张量 优化方法
2023/4/13
Tensor-based modeling and computation emerge prominently with urgent demands from practical applications in the big data era. With the intrinsic sparsity in real data sets and the dimensionality reduc...
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：A Sparse Expansion of (Deep) Gaussian Processes
深层 高斯过程 稀疏展开
2023/4/18
Conventional inferential methods for (deep) Gaussian Processes models can suffer from high computational complexity as they require large-scale operations with kernel matrices for training and inferen...
Sparse, small, but diverse neural connections help make perception reliable, efficient（图）
神经连接 丘脑输入 视觉皮层神经元 脑科学
2023/6/5
The brain’s cerebral cortex produces perception based on the sensory information it’s fed through a region called the thalamus.
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 ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Maximum cuts in 3-uniform hypergraphs with sparse neighbourhoods
稀疏邻域 均匀超图 最大切口
2023/4/27
A cut of a hypergraph is a partition of its vertex set into two parts, and the size of the cut is the number of edges which have nonempty intersection with each of the two parts. A classical result of...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition
协作 非持续激励条件 随机动态系统 分布式 稀疏辨识
2023/4/28
This talk considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochastic dynamic s...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure among Predictors
预测变量 图形结构 多类稀疏 判别分析
2023/5/9
In the era of big data, many sparse linear discriminant analysis methods have been proposed for the classification and variable selection of the high-dimensional data. In order to solve the multiclass...
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...
Revisiting the Hybrid attack on sparse and ternary secret LWE
Lattice-based Cryptography Learning with Errors Homomorphic Encryption
2019/9/16
In the practical use of the Learning With Error (LWE) based cryptosystems, it is quite common to choose the secret to be extremely small: one popular choice is ternary (±1,0±1,0) coefficient vector, a...
SpOT-Light: Lightweight Private Set Intersection from Sparse OT Extension
private set intersection OT extension
2019/6/4
We describe a novel approach for two-party private set intersection (PSI) with semi-honest security. Compared to existing PSI protocols, ours has a more favorable balance between communication and com...
A Sparse Merkle tree is based on the idea of a complete Merkle tree of an intractable size. The assumption here is that as the size of the tree is intractable, there would only be a few leaf nodes wit...
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...