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AAAI
2004
15 years 8 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
FLAIRS
2001
15 years 8 months ago
Learning and Predicting User Behavior for Particular Resource Use
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
Jung Jin Lee, Robert McCartney, Eugene Santos Jr.
JCNS
2008
78views more  JCNS 2008»
15 years 5 months ago
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning
There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred...
Naoki Masuda, Shun-ichi Amari
ICONIP
2010
15 years 5 months ago
Learning Shapes Bifurcations of Neural Dynamics upon External Stimuli
Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
Tomoki Kurikawa, Kunihiko Kaneko
CVPR
2012
IEEE
13 years 9 months ago
Seeded watershed cut uncertainty estimators for guided interactive segmentation
Watershed cuts are among the fastest segmentation algorithms and therefore well suited for interactive segmentation of very large 3D data sets. To minimize the number of user inte...
Christoph N. Straehle, Ullrich Köthe, Graham ...