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ICANN
2010
Springer
14 years 10 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
14 years 8 months ago
Learning to grasp objects with multiple contact points
— We consider the problem of grasping novel objects and its application to cleaning a desk. A recent successful approach applies machine learning to learn one grasp point in an i...
Quoc V. Le, David Kamm, A. F. Kara, Andrew Y. Ng
PKAW
2010
14 years 8 months ago
MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...
Umer Fareed, Byoung-Tak Zhang
ICPR
2004
IEEE
15 years 10 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ISBI
2006
IEEE
15 years 10 months ago
Incremental learning for segmentation in medical images
Hand-coded vision systems are problematic in complex medical domains and are hard to change as new information emerges. Knowledge-Engineering and Machine Learning approaches to in...
Avishkar Misra, Arcot Sowmya, Paul Compton