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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints
耦合 线性约束 非光滑 非凸极小问题 基本对偶交替 近端梯度算法
2023/4/14
Nonconvex minimax problems have attracted wide attention in machine learning, signal processing and many other fields in recent years. In this paper, we propose a primal dual alternating proximal grad...
Linear Constraints in Two-View Multiple Homography Estimation of Uncalibrated Scenes
Geometry Vision Homography Parameter estimation Video
2015/12/4
In this contribution, we present a method for direct linear estimation of multiple homographies and optimization of estimation results by enforcing topological constraints by means of connected compon...
Explicit Bounds for Entropy Concentration under Linear Constraints
maximum entropy concentration bounds linear constraints tolerances
2011/9/23
Abstract: Consider the construction of an object composed of $m$ parts by distributing $n$ units to those parts. For example, say we are assigning $n$ balls to $m$ boxes. Each assignment results in a ...
Explicit Bounds for Entropy Concentration under Linear Constraints
maximum entropy concentration bounds linear constraints tolerances
2011/8/19
Abstract: Consider the construction of an object composed of $m$ parts by distributing $n$ units to those parts. For example, say we are assigning $n$ balls to $m$ boxes. Each assignment results in a ...
Classical GR as a topological theory with linear constraints
Classical GR topological theory
2010/12/27
We investigate a formulation of continuum 4d gravity in terms of a constrained topological (BF) theory, in the spirit of the Plebanski formulation, but involving only linear constraints, of the type ...
Classical GR as a topological theory with linear constraints
Classical GR topological theory linear constraints
2010/12/20
We investigate a formulation of continuum 4d gravity in terms of a constrained topological (BF) theory, in the spirit of the Plebanski formulation, but involving only linear constraints,
The study of multivariate temporal data using PCA under linear constraints (PCA-LC)
PCA Rayleigh quotient linear constraints R-criteria
2010/9/10
PCA under Linear Constraints (PCA-LC) is a PCA in which we impose to the principal axis and components to belong to some sub-spaces. The Idea is to look for the principal axis and components by the op...
This paper considers the concave minimization problem with linear
constraints, proposes a technique which may avoid the unsuitable
Karush-Kuhn-Tucker points, then combines this technique with Frank-...
AbstractThe problem of constructing a Petri net feedback controller, which enforces linear inequality constraints involving the marking vector and the Parikh vector on a discrete event system (DES) mo...