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中国地质大学科学技术发展院 李正来，唐厂 等，计算机学院. IEEE T-MM (2021), Consensus Graph Learning for Multi-view Clustering（图）
噪声；冗余信息；捕获；数据；相似性；干扰
2021/10/14
2021年5月21日，《IEEE Transactions on Multimedia》正式刊发了国地质大学计算机学院与国防科技大学、深圳大学以及国家超算济南中心等单位合作完成的研究成果—Consensus Graph Learning for Multi-view Clustering（基于一致图学习的多视图聚类算法），论文的第一作者为中国地质大学计算机学院硕士研究生李正来，通讯作者为唐厂教授。
CLUSTERING OF WALL GEOMETRY FROM UNSTRUCTURED POINT CLOUDS
Building Information Modeling Clustering Wall Building Point Clouds
2019/3/1
The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After s...
EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING
Edge feature points Local feature aggregation Global image descriptors Image clustering
2018/5/11
The current global image descriptors are mostly obtained by using the local image features aggregation, which fail to take full account of the details of the image, resulting in the loss of the semant...
MULTI-PATCHES IRIS BASED PERSON AUTHENTICATION SYSTEM USING PARTICLE SWARM OPTIMIZATION AND FUZZY C-MEANS CLUSTERING
Particle swarm optimization Fuzzy c-means Taylor’s series expansion weighted mean Hamming distance Iris recognition system
2017/6/19
Locating the boundary parameters of pupil and iris and segmenting the noise free iris portion are the most challenging phases of an automated iris recognition system. In this paper, we have presented ...
In Galaxy Clustering,Mass May Not Be the Only Thing That Matters
Galaxy Clustering Mass Only Thing That Matters
2016/2/22
An international team of researchers, including Carnegie Mellon University’s Rachel Mandelbaum, has shown that the relationship between galaxy clusters and their surrounding dark matter halo is more c...
Gravitational instability and clustering in a disk of planetesimals
stars planetary systems protoplanetary disks – gravitation – planets satellites formation
2015/12/25
For a long time, gravitational instability in the disk of planetesimals has been suspected to be the main engine responsible for the beginning of dust growth, its advantage being that it provides forr...
Some insights into the time clustering of large earthquakes in Italy
Earthquake clustering ETAS model Large earthquakes in Italy
2015/9/15
The aim of this work is to investigate the clustering properties of the large earthquakes which occurred in Italy in the last four centuries.
Reconstruction and Clustering in Random Constraint Satisfaction Problems
Random quantity structure solution space threshold
2015/8/20
Random instances of Constraint Satisfaction Problems (CSP’s) appear to be hard for all known algorithms, when the number of constraints per variable lies in a certain interval. Contributing to the gen...
Automatic Clustering of Flow Cytometry Data with Density-Based Merging
Density-Based Merging Flow Cytometry Data
2015/8/20
The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has made this technology ubiquitous
and indispensable in the clinical and laboratory setting. A ...
Clustering with mixtures of log-concave distributions
EM algorithm Log-concave distribution Clustering Normal copula
2015/8/20
The EM algorithm is a popular tool for clustering observations via a parametric mixture model. Two disadvantages of this
approach are that its success depends on the appropriateness of the assumed pa...
MULTISPECTRAL LANDSAT IMAGES CLASSIFICATION USING A DATA CLUSTERING ALGORITHM
Multispectral Image Classification Networks Fuzzy Logic
2015/7/29
This paper presents a new application of a data-clustering algorithm in Landsat image classification, which improves on
conventional classification methods. Neural networks have been widely used in ...
A Geometric Analysis of Subspace Clustering with Outliers
Subspace clustering spectral clustering outlier detection `1 minimization duality in linear programming geometric functional analysis properties of convex bodies concentration of measure
2015/6/17
This paper considers the problem of clustering a collection of unlabeled data points assumed to lie near a union of lower dimensional planes. As is common in computer vision or unsupervised learning a...
Robust Subspace Clustering
Subspace clustering spectral clustering LASSO Dantzig selector `1 minimization multiple hypothesis testing true and false discoveries geometric functional analysis nonasymptotic random matrix theory
2015/6/17
Subspace clustering refers to the task of finding a multi-subspace representation that best fits a collection of points taken from a high-dimensional space. This paper introduces an algorithm inspired...
Toward a precise measurement of matter clustering: Ly alpha forest data at redshifts 2-4
absorption lines large scale structure of universe
2014/12/26
We measure the filling factor, correlation function, and power spectrum of transmitted flux in a large sample of Lyα forest spectra, comprised of 30 Keck HIRES spectra and 23 Keck LRIS spectra. We inf...
The clustering dipole of the local universe from the Two Micron All Sky Survey
galaxies clusters
2014/12/24
The unprecedented sky coverage and photometric uniformity of the Two Micron All Sky Survey (2MASS) provides a rich resource for investigating the galaxies populating the local universe. A full charact...