搜索结果: 1-13 共查到“数学 subspace”相关记录13条 . 查询时间(0.075 秒)
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...
Iteration theory of Maslov-type index associated with a Lagrangian subspace for symplectic paths and Multiplicity of brake orbits in bounded convex symmetric domains
Iteration theory Maslov-type index Lagrangian subspace symplectic paths and Multiplicity brake orbits in bounded convex symmetric domains
2015/4/3
Iteration theory of Maslov-type index associated with a Lagrangian subspace for symplectic paths and Multiplicity of brake orbits in bounded convex symmetric domains.
Two-subspace Projection Method for Coherent Overdetermined Systems (Technical Report)
Two-subspace Projection Method Coherent Overdetermined Systems Technical Report Numerical Analysis
2012/4/17
In this technical report we present a Projection onto Convex Sets (POCS) type algorithm for solving systems of linear equations. POCS methods have found many applications ranging from computer tomogra...
Two-subspace Projection Method for Coherent Overdetermined Systems
Two-subspace Projection Method Coherent Overdetermined Systems Numerical Analysis Probability
2012/4/17
We present a Projection onto Convex Sets (POCS) type algorithm for solving systems of linear equations. POCS methods have found many applications ranging from computer tomography to digital signal and...
Matrices with Eigenvectors in a Given Subspace
Eigenvectors Kalman’s controllability condition determinantal varieties
2011/1/18
The Kalman variety of a linear subspace in a vector space consists of all endomorphism that possess an eigenvector in that subspace. We study the defining polynomials and basic geometric invariants of...
lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers
Best approximating subspace lp minimization as relaxation for l0 minimization
2011/3/3
We assume data sampled from a mixture of d-dimensional linear subspaces with outliers distributed symmetrically around the origin. We study the recovery of the global l0 subspace (i.e., with largest n...
On the Homology of the Real Complement of the $k$-Parabolic Subspace Arrangement
Subspace Arrangements Coxeter Groups Discrete Morse Theory
2011/2/21
In this paper, we study k-parabolic arrangements, a generalization of the k-equal arrangement for any nite real re ection group. When k =2, these arrangements correspond to the well-studied Coxeter a...
A subspace shift technique for solving close-to-critical nonsymmetric algebraic Riccati equations
A subspace shift technique close-to-critical nonsymmetric algebraic Riccati equations
2010/11/11
The worst situation in computing the minimal nonnegative solution $X_*$ of a nonsymmetric algebraic Riccati equation $\mathcal R(X)=0$ associated with an M-matrix occurs when the derivative of $\math...
Subspace structure of some operator and Banach spaces
Subspace structure operator Banach spaces
2010/12/8
We construct a family of separable Hilbertian opera-tor spaces, such that the relation of complete isomorphism between the subspaces of each member of this family is complete K. We
also investigate ...
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees
spectral clustering affinity matrix learning rank minimization robust estimation
2010/12/16
Recently there is a line of research work proposing to employ Spectral Clustering (SC) to segment (group)1 highdimensional structural data such as those (approximately) lying on subspaces2 or low-dime...
In this paper, the subspace subcodes of generalized Reed-Solomn codes are codes are introduced and the fomulas to compute the dimensions of these codes are given.
期刊信息
篇名
Richness of Invariant Subspace Lattices For A Class Of Operators
语种
英文
撰写或编译
作者
刘明学,林辰
第一作者单位
刊物名称
Illinois journal of Mathematics
页面
47(3),581-591,2003年
出版日期
2003年
月
日
文章标识(ISSN)
相关项目
G-M型BAN...