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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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Thomas Michalke, Robert Kastner, Michael Herbert, Jannik Fritsch, Christian Goerick , "Adaptive Multi-Cue Fusion for Robust Detection of Unmarked Inner-City Streets", IEEE Intelligent Vehicles Symposium (IV), 2009.



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Cem Karaoguz, Mark Dunn, Tobias Rodemann, Christian Goerick , "Online Adaptation of Gaze Fixation for a Stereo-Vergence System with Foveated Vision", International Conference on Advanced Robotics (ICAR), 2009.

Abstract

In active vision systems, which direct their gaze to different visual targets in their environment, targets are represented in image coordinates and commands by which the gaze direction is changed are represented in motor coordinates. This requires knowledge of the mapping between two coordinate frames. In this work we present a robust mechanism that learns such a mapping. The mechanism can be applied to any active vision system performing arbitr...



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Holger Brandl , "A computational model for unsupervised childlike speech acquisition", Universität Bielefeld, Technische Fakultät, 2009.

Abstract

Speech understanding requires the ability to parse spoken utterances into words. But this ability is not innate and needs to be developed by infants within the first years of their life. So far al- most all computational speech processing systems neglected this bootstrapping process. Here we propose a model for early infant speech structure acquisition implemented as layered architecture comprising phones, syllables and words. Our model processes...



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Alexander Denecke, Heiko Wersing, Jochen Steil, Edgar Körner , "Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ", Proc. 7th International Workshop on Self-Organizing Maps (WSOM), 2009.

Abstract

Abstract. Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present an incremental learning scheme in the context of figure-ground segmentation. In presence of local adaptive metrics and supervised noisy information we use a parallel evaluation scheme combined with a local utility function to organize a learning vector quantiza...



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Martin Ernst Heckmann, Holger Brandl, Xavier Domont, Miguel Vaz, Jens Schmüdderich, Bram Bolder, Frank Joublin, Christian Goerick , "Language Acquisition Embedded into Tutor-Robot Interaction", Proc. ACORNS Workshop Computational Models of Language Evolution, Acquisition and Processing, 2009.

Abstract

Children acquire language to a large extend in the interaction with their caregivers. Inspired by this observation we develop computational models and artifacts for the acquisition of language in an interactive scenario. The artifact bootstraps its representations with little a priori knowledge and can be taught by a human tutor. In this framework we investigate different aspects of the speech acquisition process. This encompasses the learning of...



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Martin Ernst Heckmann, Xavier Domont, Frank Joublin, Christian Goerick , "Combining Auditory Inspirations and Hierarchical Feature Extraction for Robust Speech Recognition", Proceedings of NAG-DAGA: International Conference on Acoustics, 2009.

Abstract

We present speech features inspired by the processing in the auditory periphery and the receptive fields found in the auditory cortex. They have a hierarchical organization and jointly evaluate variations in the spectro-temporal domain. This is why we termed them Hierarchical Spectro-Temporal (HIST) features. For their calculation we apply a Gammatone filterbank to transform the signal into the spectral domain. In a preprocessing based on local c...



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