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Title:

Intra-Firm Competition in Multinational Corporations: Towards a Political Framework

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2014-12-03

Source:

https://aib.msu.edu/events/2008/BestPapers/AIB2008-0070.pdf

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text

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en

Subjects:

Key words ; Intra-Firm Competition ; Intra-Firm Politics ; Micro-Political Strategies ; Integration of Pre-Existing Theoretical Approaches

Key words ; Intra-Firm Competition ; Intra-Firm Politics ; Micro-Political Strategies ; Integration of Pre-Existing Theoretical Approaches Minimize

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Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2014-12-19

Source:

http://ipa.iwr.uni-heidelberg.de/ipabib/Papers/Becker-et-al-13.pdf

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text

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en

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Title:

A Study of Non-Smooth Convex Flow Decomposition

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We present a mathematical and computational feasibility study of the variational convex decomposition of 2D vector fields into coherent structures and additively superposed flow textures. Such decompositions are of interest for the analysis of image sequences in experimental fluid dynamics and for highly non-rigid image flows in computer vision....

We present a mathematical and computational feasibility study of the variational convex decomposition of 2D vector fields into coherent structures and additively superposed flow textures. Such decompositions are of interest for the analysis of image sequences in experimental fluid dynamics and for highly non-rigid image flows in computer vision. Our work extends current research on image decomposition into structural and textural parts in a twofold way. Firstly, based on Gauss ’ integral theorem, we decompose flows into three components related to the flow’s divergence, curl, and the boundary flow. To this end, we use proper operator discretizations that yield exact analogs of the basic continuous relations of vector analysis. Secondly, we decompose simultaneously both the divergence and the curl component into respective structural and textural parts. We show that the variational problem to achieve this decomposition together with necessary compatibility constraints can be reliably solved using a single convex second-order conic program. 1. Minimize

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2008-07-01

Source:

http://kiwi.math.uni-mannheim.de/PAPERS/vlsm05.pdf

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text

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en

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Title:

Matrix-Valued Filters as Convex Programs

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Abstract. Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and efficient filters for such images. Recently, a median filter for matrix-valued images has been introduced. We propose a new approach for the numerical computation...

Abstract. Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and efficient filters for such images. Recently, a median filter for matrix-valued images has been introduced. We propose a new approach for the numerical computation of matrix-valued median filters, and closely related mid-range filters, based on sound convex programming techniques. Matrix-valued medians are uniquely computed as global optima with interior point solvers. The robust performance is validated with experimental results for matrixvalued data including texture analysis and denoising. 1 Minimize

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2013-08-20

Source:

http://www.mia.uni-saarland.de/Publications/welk-bsw-ss05.pdf

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text

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en

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Title:

A Study of Non-Smooth Convex Flow Decomposition

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Abstract. We present a mathematical and computational feasibility study of the variational convex decomposition of 2D vector fields into coherent structures and additively superposed flow textures. Such decompositions are of interest for the analysis of image sequences in experimental fluid dynamics and for highly non-rigid image flows in comput...

Abstract. We present a mathematical and computational feasibility study of the variational convex decomposition of 2D vector fields into coherent structures and additively superposed flow textures. Such decompositions are of interest for the analysis of image sequences in experimental fluid dynamics and for highly non-rigid image flows in computer vision. Our work extends current research on image decomposition into structural and textural parts in a twofold way. Firstly, based on Gauss ’ integral theorem, we decompose flows into three components related to the flow’s divergence, curl, and the boundary flow. To this end, we use proper operator discretizations that yield exact analogs of the basic continuous relations of vector analysis. Secondly, we decompose simultaneously both the divergence and the curl component into respective structural and textural parts. We show that the variational problem to achieve this decomposition together with necessary compatibility constraints can be reliably solved using a single convex second-order conic program. 1 Minimize

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2008-07-01

Source:

http://www.cvgpr.uni-mannheim.de/Publications/vlsm05.pdf

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en

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Title:

Median and Related Local Filters for Tensor-Valued Images

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We develop a concept for the median filtering of tensor data. The main part of this concept is the definition of median for symmetric matrices. This definition is based on the minimisation of a geometrically motivated objective function which measures the sum of distances of a variable matrix to the given data matrices. This theoretically wellfo...

We develop a concept for the median filtering of tensor data. The main part of this concept is the definition of median for symmetric matrices. This definition is based on the minimisation of a geometrically motivated objective function which measures the sum of distances of a variable matrix to the given data matrices. This theoretically wellfounded concept fits into a context of similarly defined median filters for other multivariate data. Unlike some other approaches, we do not require by definition that the median has to be one of the given data values. Nevertheless, it happens so in many cases, equipping the matrix-valued median even with root signals similar to the scalarvalued situation. Minimize

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2010-09-11

Source:

http://www.math.uni-sb.de/service/preprints/preprint135.pdf

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text

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en

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Title:

Signal Processing 87:291–308, 2007 (special issue Tensor Signal Processing) – c Elsevier B. V. 2006 Median and Related Local Filters for Tensor-Valued Images

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We develop a concept for the median filtering of tensor data. The main part of this concept is the definition of median for symmetric matrices. This definition is based on the minimisation of a geometrically motivated objective function which measures the sum of distances of a variable matrix to the given data matrices. This theoretically well-f...

We develop a concept for the median filtering of tensor data. The main part of this concept is the definition of median for symmetric matrices. This definition is based on the minimisation of a geometrically motivated objective function which measures the sum of distances of a variable matrix to the given data matrices. This theoretically well-founded concept fits into a context of similarly defined median filters for other multivariate data. Unlike some other approaches, we do not require by definition that the median has to be one of the given data values. Nevertheless, it happens so in many cases, equipping the matrix-valued median even with root signals similar to the scalar-valued situation. Like their scalar-valued counterparts, matrix-valued median filters show excellent capabilities for structure-preserving denoising. Experiments on diffusion tensor imaging, fluid dynamics and orientation estimation data are shown to demonstrate this. The orientation estimation examples give rise to a new variant of a robust adaptive structure tensor which can be compared to existing concepts. For the efficient computation of matrix medians, we present a convex programming framework. By generalising the idea of the matrix median filters, we design a variety of other local matrix filters. These include matrix-valued mid-range filters and, more generally, M-smoothers but also weighted medians and α-quantiles. Mid-range filters and quantiles allow also interesting cross-links to fundamental concepts of matrix morphology. Minimize

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The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2008-07-01

Source:

http://www.mia.uni-saarland.de/Publications/welk-sp07.pdf

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Document Type:

text

Language:

en

DDC:

518 Numerical analysis *(computed)*

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Title:

THE CASE OF EXPORT CARTEL EXEMPTIONS: BETWEEN COMPETITION AND PROTECTIONISM

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Most competition laws do not prohibit anticompetitive conduct that affects foreign target markets as long as there is no spill over effect on the home market. The U.S. in particular justifies this leniency towards export cartels by the aim of increasing efficiency in target markets that are suffering from high entrance barriers for importers. At...

Most competition laws do not prohibit anticompetitive conduct that affects foreign target markets as long as there is no spill over effect on the home market. The U.S. in particular justifies this leniency towards export cartels by the aim of increasing efficiency in target markets that are suffering from high entrance barriers for importers. Attempts to use the legal regime of the WTO to overcome private restrictions of competition are likely to fail, because of the fundamental differences between trade policy and competition policy. Although a multilateral competition policy would be best suited to challenge export cartels, the current state of the political debate makes it more likely that second-best solutions such as capacity building in lesser developed target states will have to be established. Minimize

Publisher:

Oxford University Press

Year of Publication:

2007-03-05 05:39:22.0

Document Type:

TEXT

Language:

en

Subjects:

Article

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Copyright (C) 2007, Oxford University Press

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Title:

THE CASE OF EXPORT CARTEL EXEMPTIONS: BETWEEN COMPETITION AND PROTECTIONISM

Description:

Most competition laws do not prohibit anticompetitive conduct that affects foreign target markets as long as there is no spill over effect on the home market. The U.S. in particular justifies this leniency towards export cartels by the aim of increasing efficiency in target markets that are suffering from high entrance barriers for importers. At...

Most competition laws do not prohibit anticompetitive conduct that affects foreign target markets as long as there is no spill over effect on the home market. The U.S. in particular justifies this leniency towards export cartels by the aim of increasing efficiency in target markets that are suffering from high entrance barriers for importers. Attempts to use the legal regime of the WTO to overcome private restrictions of competition are likely to fail, because of the fundamental differences between trade policy and competition policy. Although a multilateral competition policy would be best suited to challenge export cartels, the current state of the political debate makes it more likely that second-best solutions such as capacity building in lesser developed target states will have to be established. Minimize

Publisher:

Oxford University Press

Year of Publication:

2007-03-23

Document Type:

TEXT

Language:

en

Subjects:

ARTICLES

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Copyright (C) 2007, Oxford University Press

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Title:

Market Regulation and the 'Right to Property' in the European Economic Constitution

Publisher:

Oxford University Press

Year of Publication:

2007-01-01 00:00:00.0

Document Type:

TEXT

Language:

en

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Articles

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Copyright (C) 2007, No

Copyright (C) 2007, No Minimize

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