1,184 research outputs found
Das Wechselspiel zwischen KI- und Hirnforschung: Eine Diskussion mit Klaus Mainzer, Ernst Pöppel und Helge Ritter
No full textRitter H. Das Wechselspiel zwischen KI- und Hirnforschung: Eine Diskussion mit Klaus Mainzer, Ernst Pöppel und Helge Ritter. Spektrum der Wissenschaft: Dossier: Kopf oder Computer. 1997;4:14-23
Resolution-Based Complexity Control for Gaussian Mixture Models
No full textIn the domain of unsupervised learning, mixtures of gaussians have become a popular tool for statistical modeling. For this class of generative models, we present a complexity control scheme, which provides an effective means for avoiding the problem of overfitting usually encountered with unconstrained (mixtures of) gaussians in high dimensions. According to some prespecified level of resolution as implied by a fixed variance noise model, the scheme provides an automatic selection of the dimensionalities of some local signal subspaces by maximum likelihood estimation. Together with a resolution-based control scheme for adjusting the number of mixture components, we arrive at an incremental model refinement procedure within a common deterministic annealing framework, which enables an efficient exploration of the model space. The advantages of the resolution-based framework are illustrated by experimental results on synthetic and high-dimensional real-world data
Integrating vision, haptics and proprioception into a feedback controller for in-hand manipulation of unknown objects
Full text linkLi Q, Elbrechter C, Haschke R, Ritter H. Integrating vision, haptics and proprioception into a feedback controller for in-hand manipulation of unknown objects. Presented at the IROS2013
Grasp Point Optimization for Unknown Object Manipulation in Hand Task
Full text linkLi Q, Haschke R, Bolder B, Ritter H. Grasp Point Optimization for Unknown Object Manipulation in Hand Task. Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems, Portugal
Festvortrag: "Gehirne und Maschinen"
No full textRitter H. Festvortrag: "Gehirne und Maschinen". In: Preuss V, ed. Was können wir aus der Hirnforschung lernen ; Dokumentation. Bremer Universitäts-Gespräch. Vol 9. Bremen: Wolfgang-Ritter-Stiftung; 1996: 11-27
Two-fingered, tactile-based manipulation of unknown objects
Full text linkLi Q, Haschke R, Ritter H. Two-fingered, tactile-based manipulation of unknown objects. Presented at the RSS2013-WS: Sensitive Robotics, Berlin, Germany
Object Dexterous Manipulation in Hand Based on Finite State Machine
Full text linkLi Q, Meier M, Haschke R, Ritter H, Bolder B. Object Dexterous Manipulation in Hand Based on Finite State Machine. In: Proc. ICMA2012. 2012: 1185-1190
Tangible Computing for Interactive Sonification of Multivariate Data
Full text linkHermann T, Bovermann T, Riedenklau E, Ritter H. Tangible Computing for Interactive Sonification of Multivariate Data. In: Hunt A, Hermann T, eds. Proceedings of the 2nd International Workshop on Interactive Sonification. York, U.K.: Interactive Sonification community; 2007.We present a novel tangible computing system for interactively controlling real-time and offline data sonifications. Tangible objects serve as physical correlates for data series such as EEG channels, and their arrangement on our Tangible Desk (tDesk) surface is used to interactively explore features of interest in the real-time rendered sonifications. A listener object and its distances to channel objects are used to select how salient the channels’ sonic representation is in the overall sonification. Selector objects serve for the specification of datasets. This interface enables the user (a) to identify groups of correlated rhythmical behavior, (b) to control multiple channels simultaneously, and (c) to explore the data collaboratively in a team. We give a full account on hard-/software of the system and we demonstrate the system at hand of offline- and real-time sonification of EEG and stock market data
Trying to Grasp a Sketch of a Brain for Grasping
Full text linkRitter H, Haschke R, Steil JJ. Trying to Grasp a Sketch of a Brain for Grasping. In: Sendhoff B, Körner E, Sporns O, Ritter H, Doya K, eds. Creating Brain-Like Intelligence. From Basic Principles to Complex Intelligent Systems. Lecture Notes in Artificial Intelligence. Vol 5436. Berlin ; Heidelberg: Springer; 2009: 84-102
Self-Organizing Maps for internal representations
No full textRitter H. Self-Organizing Maps for internal representations. Psychological Research. 1990;52(2-3):128-136
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