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Irene Clemente, Martin Heckmann, Gerhard Sagerer, Frank Joublin, "Multiple Sequence Alignment Based Bootstrapping for Improved Incremental Word Learning", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010.

Abstract

We investigate incremental word learning with few training exam- ples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowledge. When using only a few training examples the initialization of the models is a cru- cial step. In the bootstrapping approach proposed, an unsupervised initialization of the parameters is performed, followed by the retrain- ing and construction of a new HMM using mu...



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Thomas Weisswange, Constantin Rothkopf, Tobias Rodemann, Jochen Triesch, "Model averaging as a developmental outcome of reinforcement learning", 2010.

Abstract

To make sense of the world, humans have to rely on the information that they receive from their sensory systems. Due to noise on one side and redundancies on the other side, it is possible to improve estimates of the signal's causes by integrating over multiple sensors. In recent years it has been shown that humans do so in a way that can be matched by optimal Bayesian models (e.g. [1]). Such an integration is only beneficial for signals originat...



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Yaochu Jin and Jens Trommler, "A Fitness-Independent Evolvability Measure for Evolutionary Developmental Systems", Computational Intelligence in Bioinformatics and Computational Biology, 2010.



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Martin Heckmann, Holger Brandl, Xavier Domont, Bram Bolder, Frank Joublin, Christian Goerick, "An Audio-Visual Attention System for Online Association Learning", INTERSPEECH, 2009.

Abstract

We present an audio-visual attention system for speech based interaction with a humanoid robot where a tutor can teach visual properties/locations (e.g "left") and corresponding, arbitrary speech labels. The acoustic signal is segmented via the attention system and speech labels are learned from a few repetitions of the label by the tutor. The attention system integrates bottom-up stimulus driven saliency calculation (delay-and-sum beamforming, a...



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Toyotaka Sonoda, Martina Hasenjäger, Toshiyuki Arima, Bernhard Sendhoff, "Effect of endwall contouring on performance of ultra-low aspect ratio transonic turbine inlet guide vanes", Journal of Turbomachinery, vol. 131, no. 1, pp. 011020, 2009.

Abstract

In our previous work on ultralow-aspect ratio transonic turbine inlet guide vanes (IGVs) for a small turbofan engine (Hasenjäger et al., 2005, "Three Dimensional Aerodynamic Optimization for an Ultra-Low Aspect Ratio Transonic Turbine Stator Blade," ASME Paper No. GT2005-68680), we used numerical stochastic design optimization to propose the new design concept of an extremely aft-loaded airfoil to improve the difficult-to-control aerodynamic los...



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Till Steiner, Yaochu Jin, Bernhard Sendhoff, "Vector Field Embryogeny", PLoS ONE, vol. 4, no. 12, 2009.



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Andrea Finke, Yaochu Jin, Helge Ritter, "A P300 based brain-robot interface for shaping human-robot interaction", Bernstein Conference on Computational Neuroscience, 2009.



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Yaochu Jin, Yan Meng, Bernhard Sendhoff, "Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks", IEEE Symposium on Artificial Life (IEEE ALIFE 2009), pp. 61–68, 2009.



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Karola Pitsch, Anna-Lisa Vollmer, Jannik Fritsch, Britta Wrede, Katharina Rohlfing, Gerhard Sagerer, "On the loop of action modification and the recipient's gaze in adult-child interaction", Gesture and Speech in Interaction, 2009.



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Robert Kastner, Frank Schneider, Thomas Michalke, Jannik Fritsch, Christian Goerick, "Image-based classification of driving scenes by Hierarchical Principal Component Classification (HPCC)", IEEE Intelligent Vehicles Symposium (IV), 2009.



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