This paper analyses the anti-corruption activities of 24 transition countries in the period 1999-2002. These activities are divided into omnibus anti-corruption programmes, legislative reform aimed at tackling corruption, and adherence to international anti-corruption conventions. The paper presents a new measure for determining the extent of anti-corruption activity undertaken in these three c...

This paper analyses the anti-corruption activities of 24 transition countries in the period 1999-2002. These activities are divided into omnibus anti-corruption programmes, legislative reform aimed at tackling corruption, and adherence to international anti-corruption conventions. The paper presents a new measure for determining the extent of anti-corruption activity undertaken in these three c...

In distributed systems, data corruption on a single node can propagate to other nodes in the system and cause severe outages. The probability of data corruption is already non-negligible today in large computer populations (e.g., in large datacenters). The resilience of processors is expected to decline in the near future, making it necessary to devise cost-effective software approaches to deal...

In this paper, we present GASG21 (Grassmannian Adaptive Stochastic Gradient for L2,1 norm minimization), an adaptive stochastic gradient algorithm to robustly recover the low-rank subspace from a large matrix. In the presence of column outliers corruption, we reformulate the classical matrix L2,1 norm minimization problem as its stochastic programming counterpart. For each observed data vector,...

Memory-related program failures in multithreaded programs can be caused by a variety of bugs. Concurrency bugs can occur due to unexpected or incorrect thread interleavings during execution. Other kinds of memory bugs, such as buffer overflows and uninitialized reads, may also occur in multithreaded as well as single-threaded programs. Most prior techniques for isolating these bugs are speciali...

Stereo-based Piecewise Linear Compensation for Environments (SPLICE) is a general framework for removing distortions from noisy speech cepstra. It contains a non-parametric model for cepstral corruption, which is learned from two channels of training data. We evaluate SPLICE on both the Aurora 2 and 3 tasks. These tasks consist of digit sequences in five European languages. Noise corruption is ...

A mixed-variable optimization (MVO) approach to quantitative tomography was applied to experimental x-ray data. The results were found to be comparable to previous tests on synthetic data. The MVO method was tested for robustness to realistic data problems: actual radiographic occlusions, simulated amplified noise, and random pixel rejection. Significant levels of data corruption, which easily ...

Corruption poses one of the major societal challenges of our time. Considerable advances have been made in understanding corruption on a macro level, yet the psychological antecedents of corrupt behavior remain largely unknown. In order to explain why some people engage in corruption while others do not, we explored the impact of descriptive social norms on corrupt behavior by using a novel beh...