@inproceedings{5579,
  author       = {{Wex, Felix and Schryen, Guido and Neumann, Dirk}},
  booktitle    = {{International Conference on Information Systems for Crisis Response and Management (ISCRAM) 2012}},
  title        = {{{Operational Emergency Response under Informational Uncertainty: A Fuzzy Optimization Model for Scheduling and Allocating Rescue Units}}},
  year         = {{2012}},
}

@inproceedings{5615,
  author       = {{Schryen, Guido and Wex, Felix}},
  booktitle    = {{45th Hawaii International Conference on System Sciences}},
  title        = {{{IS Design Thinking in Disaster Management Research}}},
  year         = {{2012}},
}

@article{5638,
  author       = {{Schryen, Guido}},
  journal      = {{Die Zeit}},
  title        = {{{Profis im Netz: Soziale Netzwerke könnten in Unternehmen viel mehr Nutzen stiften - woran hakt es?, in: Die Zeit (12.04.2012)}}},
  year         = {{2012}},
}

@article{5639,
  author       = {{Schryen, Guido}},
  journal      = {{IM Information Management & Consulting}},
  publisher    = {{Information Multimedia Communication imc}},
  title        = {{{Soziale Netzwerke in Unternehmenskontexten - Potentiale und Anforderungen, in: Information Management & Consulting, to appear}}},
  year         = {{2012}},
}

@inproceedings{11741,
  author       = {{Chinaev, Aleksej and Haeb-Umbach, Reinhold}},
  booktitle    = {{Speech Communication; 10. ITG Symposium; Proceedings.}},
  title        = {{{Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker}}},
  year         = {{2012}},
}

@inproceedings{11745,
  abstract     = {{In this paper we present a novel noise power spectral density tracking algorithm and its use in single-channel speech enhancement. It has the unique feature that it is able to track the noise statistics even if speech is dominant in a given time-frequency bin. As a consequence it can follow non-stationary noise superposed by speech, even in the critical case of rising noise power. The algorithm requires an initial estimate of the power spectrum of speech and is thus meant to be used as a postprocessor to a first speech enhancement stage. An experimental comparison with a state-of-the-art noise tracking algorithm demonstrates lower estimation errors under low SNR conditions and smaller fluctuations of the estimated values, resulting in improved speech quality as measured by PESQ scores.}},
  author       = {{Chinaev, Aleksej and Krueger, Alexander and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}},
  booktitle    = {{37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)}},
  keywords     = {{MAP parameter estimation, noise power estimation, speech enhancement}},
  title        = {{{Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor}}},
  year         = {{2012}},
}

@inproceedings{11849,
  abstract     = {{In this contribution we investigate the effectiveness of Bayesian feature enhancement (BFE) on a medium-sized recognition task containing real-world recordings of noisy reverberant speech. BFE employs a very coarse model of the acoustic impulse response (AIR) from the source to the microphone, which has been shown to be effective if the speech to be recognized has been generated by artificially convolving nonreverberant speech with a constant AIR. Here we demonstrate that the model is also appropriate to be used in feature enhancement of true recordings of noisy reverberant speech. On the Multi-Channel Wall Street Journal Audio Visual corpus (MC-WSJ-AV) the word error rate is cut in half to 41.9 percent compared to the ETSI Standard Front-End using as input the signal of a single distant microphone with a single recognition pass.}},
  author       = {{Krueger, Alexander and Walter, Oliver and Leutnant, Volker and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proc. Interspeech}},
  title        = {{{Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data}}},
  year         = {{2012}},
}

@article{11863,
  abstract     = {{In this contribution, a new observation model for the joint compensation of reverberation and noise in the logarithmic mel power spectral density domain will be considered. The proposed observation model relates the noisy reverberant feature to the underlying sequence of clean speech features and the feature of the noise. Nevertheless, due to the complex interaction of these variables in the target domain, the observationmodel cannot be applied to Bayesian feature enhancement directly, calling for approximations that eventually render the observation model useful. The performance of the approximated observation model will highly depend on the capability of modeling the difference between the model and the noisy reverberant observation. A detailed analysis of this observation error will be provided in this work. Among others, it will point out the need to account for the instantaneous ratio of the reverberant speech power and the noise power. Index Terms: Bayesian feature enhancement, observation model for noisy reverberant speech}},
  author       = {{Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}},
  journal      = {{Speech Communication; 10. ITG Symposium; Proceedings of}},
  pages        = {{1--4}},
  title        = {{{Investigations Into a Statistical Observation Model for Logarithmic Mel Power Spectral Density Features of Noisy Reverberant Speech}}},
  year         = {{2012}},
}

@inproceedings{11864,
  abstract     = {{In this work, an observation model for the joint compensation of noise and reverberation in the logarithmic mel power spectral density domain is considered. It relates the features of the noisy reverberant speech to those of the non-reverberant speech and the noise. In contrast to enhancement of features only corrupted by reverberation (reverberant features), enhancement of noisy reverberant features requires a more sophisticated model for the error introduced by the proposed observation model. In a first consideration, it will be shown that this error is highly dependent on the instantaneous ratio of the power of reverberant speech to the power of the noise and, moreover, sensitive to the phase between reverberant speech and noise in the short-time discrete Fourier domain. Afterwards, a statistically motivated approach will be presented allowing for the model of the observation error to be inferred from the error model previously used for the reverberation only case. Finally, the developed observation error model will be utilized in a Bayesian feature enhancement scheme, leading to improvements in word accuracy on the AURORA5 database.}},
  author       = {{Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}},
  booktitle    = {{Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on}},
  keywords     = {{Robust Automatic Speech Recognition, Bayesian feature enhancement, observation model for reverberant and noisy speech}},
  title        = {{{A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR}}},
  year         = {{2012}},
}

@techreport{11865,
  author       = {{Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}},
  title        = {{{Derivation of the Power Compensation Constant in the Observation Model for Reverberant Speech in the Logarithmic Mel Power Spectral Domain}}},
  year         = {{2012}},
}

@inproceedings{15888,
  author       = {{Somorovsky, Juraj and Mayer, Andreas and Schwenk, Jörg and Kampmann, Marco and Jensen, Meiko}},
  booktitle    = {{Presented as part of the 21st {USENIX} Security Symposium ({USENIX} Security 12)}},
  isbn         = {{978-931971-95-9}},
  pages        = {{397--412}},
  publisher    = {{{USENIX}}},
  title        = {{{On Breaking SAML: Be Whoever You Want to Be}}},
  year         = {{2012}},
}

@misc{34952,
  author       = {{Süßmann, Johannes}},
  booktitle    = {{Paderborner Historische Mitteilungen}},
  pages        = {{98 f}},
  title        = {{{[Rez. v.] Jörg Ernesti: Ferdinand von Fürstenberg (1626–1683). Geistiges Profil eines barocken Fürstbischofs (=Studien und Quellen zur westfälischen Geschichte. 51). Paderborn: Bonifatius 2004}}},
  volume       = {{25}},
  year         = {{2012}},
}

@article{32521,
  abstract     = {{Im vorliegenden Beitrag wird der Zusammenhang zwischen der sozialkognitiven Entwicklung und sozialer Akzeptanz durch Gleichaltrige im Vorschulalter dargestellt. Neben einem direkten Effekt sozialer Kognitionen auf die soziale Akzeptanz wird ein Mediationseffekt des Sozialverhaltens auf diesen Zusammenhang geprüft. Untersucht wurden 35 Kindergartenkinder im Alter von vier bis sechs Jahren. Zur Erfassung des sozialkognitiven Entwicklungsstandes bearbeiteten die Kinder Theory of Mindund Perspektivenübernahme-Aufgaben; ihre soziale Akzeptanz wurde durch Peernominationen sowie eine Erzieher-Beurteilung der Integration der Kinder in die Gruppe erhoben. Das prosoziale und aggressive Sozialverhalten der Kinder wurde durch die Erzieherinnen eingeschätzt. Es zeigte sich ein direkter Zusammenhang zwischen dem sozial-kognitiven Entwicklungsstand und der sozialen Akzeptanz der Kinder. Die Annahme, dass dieser Zusammenhang durch das prosoziale bzw. aggressive Verhalten der Kinder mediiert wird, bestätigte sich nur bedingt.}},
  author       = {{Seifermann, Elke and Buhl, Heike M.}},
  journal      = {{Diskurs Kindheits- und Jugendforschung}},
  keywords     = {{sozial-kognitive Entwicklung, Sozialverhalten, soziale Akzeptanz, Vorschulalter}},
  pages        = {{321 -- 332}},
  title        = {{{Soziale Kognitionen, Sozialverhalten und Akzeptanz durch Gleichaltrige bei Kindern im Vorschulalter}}},
  volume       = {{3}},
  year         = {{2012}},
}

@inproceedings{11833,
  abstract     = {{In this paper we propose an approach to retrieve the geometry of an acoustic sensor network consisting of spatially distributed microphone arrays from unconstrained speech input. The calibration relies on Direction of Arrival (DoA) measurements which do not require a clock synchronization among the sensor nodes. The calibration problem is formulated as a cost function optimization task, which minimizes the squared differences between measured and predicted observations and additionally avoids the existence of minima that correspond to mirrored versions of the actual sensor orientations. Further, outlier measurements caused by reverberation are mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results show a mean positioning error of at most 25 cm even in highly reverberant environments.}},
  author       = {{Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}},
  booktitle    = {{International Workshop on Acoustic Signal Enhancement (IWAENC 2012)}},
  keywords     = {{Unsupervised, geometry calibration, microphone arrays, position self-calibration}},
  title        = {{{Microphone Array Position Self-Calibration from Reverberant Speech Input}}},
  year         = {{2012}},
}

@inproceedings{11925,
  abstract     = {{In this paper we present a system for car navigation by fusing sensor data on an Android smartphone. The key idea is to use both the internal sensors of the smartphone (e.g., gyroscope) and sensor data from the car (e.g., speed information) to support navigation via GPS. To this end we employ a CAN-Bus-to-Bluetooth adapter to establish a wireless connection between the smartphone and the CAN-Bus of the car. On the smartphone a strapdown algorithm and an error-state Kalman filter are used to fuse the different sensor data streams. The experimental results show that the system is able to maintain higher positioning accuracy during GPS dropouts, thus improving the availability and reliability, compared to GPS-only solutions.}},
  author       = {{Walter, Oliver and Schmalenstroeer, Joerg and Engler, Andreas and Haeb-Umbach, Reinhold}},
  booktitle    = {{9th Workshop on Positioning Navigation and Communication (WPNC 2012)}},
  keywords     = {{Smartphone, navigation, sensor fusion}},
  title        = {{{Smartphone-Based Sensor Fusion for Improved Vehicular Navigation}}},
  year         = {{2012}},
}

@misc{49021,
  author       = {{Moritz, Tilman}},
  booktitle    = {{H-Soz-Kult}},
  title        = {{{W. Kühlmann (Hg.): Reuchlins Freunde und Gegner. Kommunikative Konstellationen eines frühneuzeitlichen Medienereignisses. Tübingen 2010}}},
  year         = {{2012}},
}

@misc{49692,
  author       = {{Jacke, Christoph and Ahlers, Michael}},
  title        = {{{Musik im Internet. Entwicklungen, Trends und Perspektiven.}}},
  year         = {{2012}},
}

@misc{49694,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Das Lexikon der Filmbegriffe.}},
  editor       = {{Wulff, Hans-J.}},
  title        = {{{Populärkultur.}}},
  year         = {{2012}},
}

@misc{49697,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Das Lexikon der Filmbegriffe.}},
  editor       = {{Wulff, Hans-J.}},
  title        = {{{Kritische Theorie.}}},
  year         = {{2012}},
}

@misc{49698,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Das Lexikon der Filmbegriffe.}},
  editor       = {{Wulff, Han}},
  title        = {{{Cultural Studies.}}},
  year         = {{2012}},
}