Björn Schölling, Martin Heckmann, Frank Joublin, Christian Goerick,
"Structuring Time Domain Blind Source Separation Algorithms for CASA Integration",
Proceedings of the ISCA Tutorial and Research Workshop on Statist. and Percept. Audition (SAPA 2006), 2006.
Abstract
Most algorithms based on Computational Auditory Scene Analysis (CASA) for binaural speech separation do not have the ability to inhibit already localized and for a long time present sources in the auditory scene. This has the major drawback that the auditory cues of weaker and new sources are subject to interference from already localized and perceived signals and the separation performance is worse if the signals overlap in their processing doma...
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Volker Willert,
"Rekurrente visuelle Bewegungssegmentierung",
Technische Universität Darmstadt, Fachgebiet für Regelungstheorie und Robotik, 2006.
Abstract
In dieser Arbeit wird ein biologisch motiviertes Verfahren zur Bewegungsschätzung in Videosequenzen vorgestellt, welches das Korrespondenzproblem auch in störbehafteten Videoaufnahmen bei Farbrauschen und Beleuchtungsänderungen lösen kann und damit eine robuste Schätzung des optischen Flusses in realen Bildaufnahmesituationen liefert. Dazu wird ein stochastisches Modell zur Messung von Geschwindigkeiten entwickelt, das unterschiedliche Mehrd...
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Michael Gienger, Herbert Janßen, Christian Goerick,
"Exploiting Task Intervals for Whole Body Robot Control",
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
Abstract
This paper presents a whole body motion algorithm and shows some steps towards its feasibility in complex scenarios. We employ the framework of Liegeois which solves the redundant inverse kinematics problem on velocity level. To make the controller suitable for a variety of different applications, task descriptors for the relative effector positions as well as a one and two-dimensional attitude representation are proposed. The inverse kinematics ...
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Christian Goerick, Inna Mikhailova, Heiko Wersing, Stephan Kirstein,
"Biologically motivated visual behaviors for humanoids: Learning to interact and learning in interaction",
Proceedings of the IEEE/RSJ International Conference on Humanoid Robots (Humanoids 2006), Genoa, Italy, 2006.
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Yaochu Jin and Bernhard Sendhoff,
"Alleviating Catastrophic Forgetting via Multi-Objective Learning",
International Joint Conference on Neural Networks, pp. 6367–6374, 2006.
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Anjan Hegde,
"Object Position and Size Estimation from Output Activations of a Hierarchical Invariant Object Recognition Framework",
FH Frankfurt, 2006.
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Yaochu Jin, Markus Olhofer, Bernhard Sendhoff,
"On evolutionary optimization of large problems with small populations",
Int. Conf. on Natural Computation, pp. 1145-1154, 2005.
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Inna Mikhailova and Christian Goerick,
"Conditions of Activity Bubble Uniqueness in Dynamic Neural Fields",
Biological Cybernetics, vol. 92, pp. 82-91, 2005.
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Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward Tsang, Tatsuya Okabe,
"A model-based evolutionary algorithm for bi-objective optimization",
Congress on Evolutionary Computation, pp. 2568-2575, 2005.
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Daniel Weiler,
"Investigation and implementation of a form-based tracking system using Level-Sets",
TU-Darmstadt, 2005.
Abstract
Level Set methods are numerical methods for curve and surface evolutions. Their relevance in Computer Vision was steadily increasing over the past years. This diploma thesis is divided into two parts. The first part gives an introduction into the Level Set theory and introduces the three basic Level Set evolutions termed motion in an external velocity field, motion in the normal direction and constructing signed distance functions. Furthermore a ...
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