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Robust Tensor Decomposition with Gross Corruption
"... In this paper, we study the statistical performance of robust tensor decomposition with gross corruption. The observations are noisy realization of the superposition of a low-rank tensorW ā and an entrywise sparse corruption tensor Vā. Unlike conventional noise with bounded variance in previous conv ..."
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In this paper, we study the statistical performance of robust tensor decomposition with gross corruption. The observations are noisy realization of the superposition of a low-rank tensorW ā and an entrywise sparse corruption tensor Vā. Unlike conventional noise with bounded variance in previous
The development and comparison of robust methods for estimating the fundamental matrix
- International Journal of Computer Vision
, 1997
"... Abstract. This paper has two goals. The first is to develop a variety of robust methods for the computation of the Fundamental Matrix, the calibration-free representation of camera motion. The methods are drawn from the principal categories of robust estimators, viz. case deletion diagnostics, M-est ..."
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Cited by 266 (10 self)
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of the parameters are examined. The results of the comparison have broad applicability to vision algorithms where the input data are corrupted not only by noise but also by gross outliers.
Administrative corruption and taxation
- International Tax and Public Finance
, 1995
"... Administrative corruption, whereby taxpayers and collectors collude to reduce remissions, is central to tax evasion in developing countries. A framework is developed for the analysis of such corruption, based on imperfect information concerning true tax liabilities. Some tolerance of corruption can ..."
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Cited by 10 (0 self)
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if revenue targets are not met, and much heavier penalties for gross corruption. Key words: corruption, development, taxes
RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
, 2010
"... This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of image domain transformations such that the matrix of transformed images can be decomposed as the sum of a sparse matrix of ..."
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Cited by 161 (6 self)
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This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of image domain transformations such that the matrix of transformed images can be decomposed as the sum of a sparse matrix
Importance of Corruption
"... ABSTRACT. This paper focuses on the social and economics impact of corruption on national economies and multinational corporations. The paper addresses the importance of eliminating corruption from the standpoint of its macro economics effects on gross domestic product, foreign direct investment and ..."
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ABSTRACT. This paper focuses on the social and economics impact of corruption on national economies and multinational corporations. The paper addresses the importance of eliminating corruption from the standpoint of its macro economics effects on gross domestic product, foreign direct investment
Worldwide clustering of the corruption perception
"... Abstract We inspect a possible clustering structure of the corruption perception among 134 countries. Using the average linkage clustering, we uncover a well-defined hierarchy in the relationships among countries. Four main clusters are identified and they suggest that countries worldwide can be qu ..."
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measured by the gross domestic product per capita of the member states. To the best of our knowledge, this study is the first one to present an application of hierarchical and clustering methods to the specific case of corruption.
Managing the Link Between Bribery and Wealth Based on Corruption Perception Index (CPI) and Gross National Product (GNP) per Capita
"... Corruption is a reality of life in all countries ..."
Impact of Corruption on Economic Growth in Nigeria
, 2014
"... Corruption is an ancient practice that has been traced back to pre-biblical time and made itself known in the ancient civilizations of developed and developing countries. This study empirically investigates the impact of corruption on the growth of Nigerian economy using granger causality and regres ..."
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and regression techniques. The study used gross domestic product (GDP) as a proxy of economic growth and corruption index as a proxy of corruption in our analysis. The study revealed that the level of corruption in Nigeria over the years has significant negative impact on economic growth in Nigeria
Robust Multi-task Regression with Grossly Corrupted Observations
"... We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-estimator that is robust to such error, where the sum of two individual regularization terms are used: the first one encoura ..."
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Cited by 1 (0 self)
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We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-estimator that is robust to such error, where the sum of two individual regularization terms are used: the first one
CORRUPTION, RELIGION AND ECONOMIC PERFORMANCE IN OPEC COUNTRIES:
"... The analysis of corruption in international business is a relatively new but an important phenomenon and for the last two decades many research works have attempted to capture the economic impact of the corruption in a country. None of such works has addressed the issue of corruption and religion to ..."
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to traditional ordinary leas squares errors regression models. Results show that economic performance (measured by Real Gross Domestic Product) responds positively to less corruption and the dominant religion, especially Islam, in our study. Needless to say, this study also suffers from limitations, regarding
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