Institution
Fraunhofer Society
Government•Munich, Germany•
About: Fraunhofer Society is a government organization based out in Munich, Germany. It is known for research contribution in the topics: Laser & Silicon. The organization has 24736 authors who have published 40168 publications receiving 820894 citations.
Topics: Laser, Silicon, Thin film, Solar cell, CAS Registry Number
Papers published on a yearly basis
Papers
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TL;DR: This work proposes the combination of a non-parametric and permutation-based statistical framework with linear classifiers that is more spatially precise, revealing both informative anatomical structures as well as the direction by which voxels contribute to the classification.
Abstract: Although ultra-high-field fMRI at field strengths of 7T or above provides substantial gains in BOLD contrast-to-noise ratio, when very high-resolution fMRI is required such gains are inevitably reduced. The improvement in sensitivity provided by multivariate analysis techniques, as compared with univariate methods, then becomes especially welcome. Information mapping approaches are commonly used, such as the searchlight technique, which take into account the spatially distributed patterns of activation in order to predict stimulus conditions. However, the popular searchlight decoding technique, in particular, has been found to be prone to spatial inaccuracies. For instance, the spatial extent of informative areas is generally exaggerated, and their spatial configuration is distorted. We propose the combination of a non-parametric and permutation-based statistical framework with linear classifiers. We term this new combined method Feature Weight Mapping (FWM). The main goal of the proposed method is to map the specific contribution of each voxel to the classification decision while including a correction for the multiple comparisons problem. Next, we compare this new method to the searchlight approach using a simulation and ultra-high-field 7T experimental data. We found that the searchlight method led to spatial inaccuracies that are especially noticeable in high-resolution fMRI data. In contrast, FWM was more spatially precise, revealing both informative anatomical structures as well as the direction by which voxels contribute to the classification. By maximizing the spatial accuracy of ultra-high-field fMRI results, global multivariate methods provide a substantial improvement for characterizing structure-function relationships.
654 citations
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TL;DR: Plants provide an inexpensive and convenient system for the large-scale production of valuable recombinant proteins and will only realize its huge potential if constraints are removed through rigorous and detailed science-based studies.
650 citations
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TL;DR: It is demonstrated that the gene encoding oncogenic microRNA-21 (miR-21) is controlled by an upstream enhancer containing 2 Stat3 binding sites strictly conserved since the first observed evolutionary appearance of miR- 21 and Stat3.
650 citations
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10 Jul 2008TL;DR: The effectiveness of the proposed method for learning and discrimination of malware behavior is demonstrated, especially in detecting novel instances of malware families previously not recognized by commercial anti-virus software.
Abstract: Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variants severely undermine the effectiveness of classical signature-based detection. Yet variants of malware families share typical behavioral patternsreflecting its origin and purpose. We aim to exploit these shared patterns for classification of malware and propose a method for learning and discrimination of malware behavior. Our method proceeds in three stages: (a) behavior of collected malware is monitored in a sandbox environment, (b) based on a corpus of malware labeled by an anti-virus scanner a malware behavior classifieris trained using learning techniques and (c) discriminative features of the behavior models are ranked for explanation of classification decisions. Experiments with different heterogeneous test data collected over several months using honeypots demonstrate the effectiveness of our method, especially in detecting novelinstances of malware families previously not recognized by commercial anti-virus software.
648 citations
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TL;DR: An experimental analysis of multiview video coding (MVC) for various temporal and inter-view prediction structures is presented, showing that prediction with temporal reference pictures is highly efficient, but for 20% of a picture's blocks on average prediction with reference pictures from adjacent views is more efficient.
Abstract: An experimental analysis of multiview video coding (MVC) for various temporal and inter-view prediction structures is presented. The compression method is based on the multiple reference picture technique in the H.264/AVC video coding standard. The idea is to exploit the statistical dependencies from both temporal and inter-view reference pictures for motion-compensated prediction. The effectiveness of this approach is demonstrated by an experimental analysis of temporal versus inter-view prediction in terms of the Lagrange cost function. The results show that prediction with temporal reference pictures is highly efficient, but for 20% of a picture's blocks on average prediction with reference pictures from adjacent views is more efficient. Hierarchical B pictures are used as basic structure for temporal prediction. Their advantages are combined with inter-view prediction for different temporal hierarchy levels, starting from simulcast coding with no inter-view prediction up to full level inter-view prediction. When using inter-view prediction at key picture temporal levels, average gains of 1.4-dB peak signal-to-noise ratio (PSNR) are reported, while additionally using inter-view prediction at nonkey picture temporal levels, average gains of 1.6-dB PSNR are reported. For some cases, gains of more than 3 dB, corresponding to bit-rate savings of up to 50%, are obtained.
645 citations
Authors
Showing all 24741 results
Name | H-index | Papers | Citations |
---|---|---|---|
Christian Gieger | 157 | 617 | 113657 |
J. Fraser Stoddart | 147 | 1239 | 96083 |
Klaus-Robert Müller | 129 | 764 | 79391 |
Ron Kikinis | 126 | 684 | 63398 |
Thomas Schwarz | 123 | 701 | 54560 |
Alexander J. Smola | 122 | 434 | 110222 |
Yang Li | 117 | 1319 | 63111 |
Paul Turner | 114 | 1099 | 61390 |
Wil M. P. van der Aalst | 108 | 725 | 42429 |
Ivan Dikic | 107 | 359 | 52088 |
Peter F. Stadler | 103 | 901 | 56813 |
Ralph Müller | 102 | 677 | 40888 |
Stefan Kaskel | 101 | 705 | 36201 |
Andreas Tünnermann | 97 | 1738 | 43757 |
Wenjun Zhang | 96 | 976 | 38530 |