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Institution

University of Mannheim

EducationMannheim, Germany
About: University of Mannheim is a education organization based out in Mannheim, Germany. It is known for research contribution in the topics: Population & European union. The organization has 4448 authors who have published 12918 publications receiving 446557 citations. The organization is also known as: Uni Mannheim & UMA.


Papers
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Journal ArticleDOI
TL;DR: A taxonomy of self-adaptation and a survey on engineering SASs are presented and a new perspective on SAS including context adaptation is motivated.

323 citations

Book
08 Apr 2010
TL;DR: The work in this article explores issues, perspectives, and models, with the leading scholars in the area contributing chapters to provide a central reference point for academics, scholars, and students.
Abstract: It is increasingly accepted that "institutions matter" for economic organization and outcomes. The last decade has seen significant expansion in research examining how institutional contexts affect the nature and behavior of firms, the operation of markets, and economic outcomes. Yet "institutions" conceal a multitude of issues and perspectives. Much of this research has been comparative, and followed different models such as "varieties of capitalism", "national business systems", and "social systems of production". This Handbook explores these issues, perspectives, and models, with the leading scholars in the area contributing chapters to provide a central reference point for academics, scholars, and students. Features Covers models such as 'varieties of capitalism', 'national business systems', and 'social systems of production'. Chapters by leading international scholars Covers issues such as corporate governance, employment, and financial systems Chapters on theory and methodology

322 citations

Journal ArticleDOI
TL;DR: The results suggest that lomustine-temozolomide chemotherapy might improve survival compared with temozolmide standard therapy in patients with newly diagnosed glioblastoma with methylated MGMT promoter.

321 citations

Journal ArticleDOI
TL;DR: Qualitative and quantitative results show that the spatio-temporal approach leads to a rotationally invariant and time symmetric convex optimization problem and has a unique minimum that can be found in a stable way by standard algorithms such as gradient descent.
Abstract: Nonquadratic variational regularization is a well-known and powerful approach for the discontinuity-preserving computation of optic flow. In the present paper, we consider an extension of flow-driven spatial smoothness terms to spatio-temporal regularizers. Our method leads to a rotationally invariant and time symmetric convex optimization problem. It has a unique minimum that can be found in a stable way by standard algorithms such as gradient descent. Since the convexity guarantees global convergence, the result does not depend on the flow initialization. Two iterative algorithms are presented that are not difficult to implement. Qualitative and quantitative results for synthetic and real-world scenes show that our spatio-temporal approach (i) improves optic flow fields significantly, (ii) smoothes out background noise efficiently, and (iii) preserves true motion boundaries. The computational costs are only 50% higher than for a pure spatial approach applied to all subsequent image pairs of the sequence.

318 citations

Journal ArticleDOI
TL;DR: An efficient implementation of correlation based disparity calculation with high speed and reasonable quality that can be used in a wide range of applications or to provide an initial solution for more sophisticated methods is presented.
Abstract: This paper presents an efficient implementation for correlation based stereo. Research in this area can roughly be divided in two classes: improving accuracy regardless of computing time and scene reconstruction in real-time. Algorithms achieving video frame rates must have strong limitations in image size and disparity search range, whereas high quality results often need several minutes per image pair. This paper tries to fill the gap, it provides instructions how to implement correlation based disparity calculation with high speed and reasonable quality that can be used in a wide range of applications or to provide an initial solution for more sophisticated methods. Left-right consistency checking and uniqueness validation are used to eliminate false matches. Optionally, a fast median filter can be applied to the results to further remove outliers. Source code will be made publicly available as contribution to the Open Source Computer Vision Library, further acceleration with SIMD instructions is planned for the near future.

318 citations


Authors

Showing all 4522 results

NameH-indexPapersCitations
Andreas Kugel12891075529
Jürgen Rehm1261132116037
Norbert Schwarz11748871008
Andreas Hochhaus11792368685
Barry Eichengreen11694951073
Herta Flor11263848175
Eberhard Ritz111110961530
Marcella Rietschel11076565547
Andreas Meyer-Lindenberg10753444592
Daniel Cremers9965544957
Thomas Brox9932994431
Miles Hewstone8841826350
Tobias Banaschewski8569231686
Andreas Herrmann8276125274
Axel Dreher7835020081
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202337
2022138
2021827
2020747
2019710
2018620