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ICIP
2010
IEEE
13 years 6 months ago
Semi-supervised regression with temporal image sequences
We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary slowly along a sequen...
Ling Xie, Miguel Á. Carreira-Perpiñ&...
ECCV
1992
Springer
14 years 10 months ago
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically signi cant...
Michael J. Black
ICANN
2010
Springer
13 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
CORR
2007
Springer
101views Education» more  CORR 2007»
13 years 8 months ago
Tracking Stopping Times
— Let {(Xi, Yi)}∞ i=1 be a sequence of pairs of random variables, and let S be a bounded stopping time with respect to {Xi}∞
Urs Niesen, Aslan Tchamkerten, Gregory W. Wornell
ICCAD
2002
IEEE
143views Hardware» more  ICCAD 2002»
14 years 5 months ago
A Markov chain sequence generator for power macromodeling
In macromodeling-based power estimation, circuit macromodels are created from simulations of synthetic input vector sequences. Fast generation of these sequences with all possible...
Xun Liu, Marios C. Papaefthymiou