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» A hierarchical model of data locality
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ICANN
2003
Springer
15 years 4 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
DAGM
1998
Springer
15 years 3 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
CGF
2002
116views more  CGF 2002»
14 years 10 months ago
Deferred, Self-Organizing BSP Trees
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures...
Sigal Ar, Gil Montag, Ayellet Tal
RAS
2000
106views more  RAS 2000»
14 years 10 months ago
Robust localization of auditory and visual targets in a robotic barn owl
In the last two decades, the barn owl, a nocturnal predator with accurate visual and auditory capabilities, has become a common experimental system for neuroscientists investigati...
Michele Rucci, Jonathan Wray, Gerald M. Edelman
IJRR
2010
185views more  IJRR 2010»
14 years 9 months ago
FISST-SLAM: Finite Set Statistical Approach to Simultaneous Localization and Mapping
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequis...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma