@inproceedings{11875, abstract = {{Only a few studies exist on automatic emotion analysis of speech from children with Autism Spectrum Conditions (ASC). Out of these, some preliminary studies have recently focused on comparing the relevance of selected prosodic features against large sets of acoustic, spectral, and cepstral features; however, no study so far provided a comparison of performances across different languages. The present contribution aims to fill this white spot in the literature and provide insight by extensive evaluations carried out on three databases of prompted phrases collected in English, Swedish, and Hebrew, inducing nine emotion categories embedded in short-stories. The datasets contain speech of children with ASC and typically developing children under the same conditions. We evaluate automatic diagnosis and recognition of emotions in atypical childrens voice over the nine categories including binary valence/arousal discrimination.}}, author = {{Marchi, Erik and Schuller, Bjoern and Baron-Cohen, Simon and Golan, Ofer and Boelte, Sven and Arora, Prerna and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2015}}, title = {{{Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages}}}, year = {{2015}}, } @inproceedings{11919, abstract = {{In this paper we present a source counting algorithm to determine the number of speakers in a speech mixture. In our proposed method, we model the histogram of estimated directions of arrival with a nonparametric Bayesian infinite Gaussian mixture model. As an alternative to classical model selection criteria and to avoid specifying the maximum number of mixture components in advance, a Dirichlet process prior is employed over the mixture components. This allows to automatically determine the optimal number of mixture components that most probably model the observations. We demonstrate by experiments that this model outperforms a parametric approach using a finite Gaussian mixture model with a Dirichlet distribution prior over the mixture weights.}}, author = {{Walter, Oliver and Drude, Lukas and Haeb-Umbach, Reinhold}}, booktitle = {{40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)}}, title = {{{Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model}}}, year = {{2015}}, } @article{11922, abstract = {{Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning technology can efficiently learn based thereon and generalize to novel data. While classical approaches often rely on a hand coded data representation, the topic of autonomous representation or feature learning plays a major role in modern learning architectures. The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two recent examples: autonomous metric learning for sequences, and autonomous learning of a deep representation for spoken language, respectively.}}, author = {{Walter, Oliver and Haeb-Umbach, Reinhold and Mokbel, Bassam and Paassen, Benjamin and Hammer, Barbara}}, journal = {{KI - Kuenstliche Intelligenz}}, keywords = {{Representation learning, Metric learning, Deep representation, Spoken language}}, pages = {{1--13}}, title = {{{Autonomous Learning of Representations}}}, doi = {{http://dx.doi.org/10.1007/s13218-015-0372-1}}, year = {{2015}}, } @techreport{11923, abstract = {{In this paper we show that recently developed algorithms for unsupervised word segmentation can be a valuable tool for the documentation of endangered languages. We applied an unsupervised word segmentation algorithm based on a nested Pitman-Yor language model to two austronesian languages, Wooi and Waima'a. The algorithm was then modified and parameterized to cater the needs of linguists for high precision of lexical discovery: We obtained a lexicon precision of of 69.2\% and 67.5\% for Wooi and Waima'a, respectively, if single-letter words and words found less than three times were discarded. A comparison with an English word segmentation task showed comparable performance, verifying that the assumptions underlying the Pitman-Yor language model, the universality of Zipf's law and the power of n-gram structures, do also hold for languages as exotic as Wooi and Waima'a.}}, author = {{Walter, Oliver and Haeb-Umbach, Reinhold and Strunk, Jan and P. Himmelmann, Nikolaus }}, title = {{{Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)}}}, year = {{2015}}, } @inproceedings{15911, author = {{Kupser, Dennis and Mainka, Christian and Schwenk, Jö and Somorovsky, Juraj}}, booktitle = {{9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)}}, publisher = {{{USENIX} Association}}, title = {{{How to Break XML Encryption -- Automatically}}}, year = {{2015}}, } @techreport{1374, author = {{Gries, Thomas and Grundmann, Rainer and Palnau, Irene and Redlin, Margarete}}, title = {{{Does technological change drive inclusive industrialization? A review of major concepts and findings}}}, year = {{2015}}, } @article{30147, author = {{Ficara, Elena}}, journal = {{Fatum Magazin}}, pages = {{9}}, title = {{{Was ist Wahrheit?}}}, volume = {{3}}, year = {{2015}}, } @inbook{29477, author = {{Probst, Heike M. and Sacher, Marc and Schaper, Niclas}}, booktitle = {{Mittendrin - Lehre im Dialog}}, issn = {{1612-4537}}, location = {{Nürnberg}}, pages = {{275 -- 276}}, title = {{{Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika}}}, year = {{2015}}, } @inbook{29476, author = {{Sacher, Marc}}, booktitle = {{Mittendrin - Lehre im Dialog}}, location = {{Nürnberg}}, pages = {{106 -- 112}}, title = {{{Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums}}}, year = {{2015}}, } @misc{29551, author = {{Schönhärl, Korinna}}, title = {{{Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange}}}, year = {{2015}}, } @article{6066, abstract = {{Selective visual attention improves performance in many tasks. Among others, it leads to 'prior entry'—earlier perception of an attended compared to an unattended stimulus. Whether this phenomenon is purely based on an increase of the processing rate of the attended stimulus or if a decrease in the processing rate of the unattended stimulus also contributes to the effect is, up to now, unanswered. Here we describe a novel approach to this question based on Bundesen’s Theory of Visual Attention, which we use to overcome the limitations of earlier prior-entry assessment with temporal order judgments (TOJs) that only allow relative statements regarding the processing speed of attended and unattended stimuli. Prevalent models of prior entry in TOJs either indirectly predict a pure acceleration or cannot model the difference between acceleration and deceleration. In a paradigm that combines a letter-identification task with TOJs, we show that indeed acceleration of the attended and deceler}}, author = {{Tünnermann, Jan and Petersen, Anders and Scharlau, Ingrid}}, issn = {{1534-7362}}, journal = {{Journal of Vision}}, keywords = {{unattended stimuli, attention speed, cognitive processing, Attention, Humans, Judgment, Mental Recall, Visual Perception, Stimulus Parameters, Visual Perception, Visual Attention, Cognitive Processes, Velocity}}, number = {{3}}, title = {{{Does attention speed up processing? Decreases and increases of processing rates in visual prior entry.}}}, doi = {{10.1167/15.3.1}}, volume = {{15}}, year = {{2015}}, } @inproceedings{6719, author = {{Heindorf, Stefan and Potthast, Martin and Stein, Benno and Engels, Gregor}}, booktitle = {{SIGIR}}, isbn = {{9781450336215}}, pages = {{831--834}}, publisher = {{ACM}}, title = {{{Towards Vandalism Detection in Knowledge Bases}}}, doi = {{10.1145/2766462.2767804}}, year = {{2015}}, } @misc{34558, author = {{Neumann, Phillip}}, booktitle = {{Erziehungswissenschaftliche Revue (EWR)}}, issn = {{1613-0677}}, number = {{4}}, title = {{{Rezension von: Widmer-Wolf, Patrik: Praxis der Individualisierung. Wie multiprofessionelle Klassenteams Fördersituationen für Kinder im Schulalltag etablieren}}}, volume = {{14}}, year = {{2015}}, } @inproceedings{11874, author = {{Hoang, Manh Kha and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}}, booktitle = {{40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)}}, title = {{{Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization}}}, year = {{2015}}, } @article{49571, author = {{Jacke, Christoph}}, journal = {{Die Aufhebung}}, title = {{{So Far...From Now On # 4. Kolumne.}}}, year = {{2015}}, } @article{49582, author = {{Jacke, Christoph}}, journal = {{Die Aufhebung}}, title = {{{So Far...From Now On # 3. Kolumne.}}}, year = {{2015}}, } @article{50885, author = {{Blank, Andreas}}, journal = {{Hungarian Philosophical Review}}, number = {{1}}, pages = {{140--152}}, title = {{{“Animals and Immortality in the Monadology.” }}}, volume = {{59}}, year = {{2015}}, } @article{51330, author = {{Nikel, Jutta and Haker, Christoph}}, issn = {{2190-6890}}, journal = {{Zeitschrift für Bildungsforschung}}, number = {{2}}, pages = {{219--233}}, publisher = {{Springer}}, title = {{{Intermediäre Aushandlungsräume. Herausforderung für die Governanceanalyse und grenzüberschreitende Handlungskoordination im BNE-Transfer}}}, doi = {{10.1007/s35834-015-0130-3}}, volume = {{5}}, year = {{2015}}, } @inproceedings{28588, author = {{Drossel, Kerstin and Eickelmann, Birgit and Gerick, Julia}}, booktitle = {{IFIP TC3 Working Conference: A New Culture of Learning: Computing and next Generations}}, editor = {{Brodnik, Andrej and Lewin, Cathy}}, location = {{Vilnius, Lithuania}}, pages = {{131--140}}, title = {{{Computer use in class: the significance of educational framework conditions, attitudes and background characteristics of teachers on a level of international comparison}}}, year = {{2015}}, } @phdthesis{45973, author = {{Kovács, Balázs}}, title = {{{Efficient numerical methods for elliptic and parabolic partial differential equations}}}, doi = {{10.15476/ELTE.2015.076}}, year = {{2015}}, }