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DIS
2006
Springer
13 years 11 months ago
Mining Sectorial Episodes from Event Sequences
In this paper, we introduce a sectorial episode of the form C r, where C is a set of events and r is an event. The sectorial episode C r means that every event of C is followed b...
Takashi Katoh, Kouichi Hirata, Masateru Harao
ICCV
1998
IEEE
14 years 9 months ago
A Framework for Modeling Appearance Change in Image Sequences
Image "appearance" may change over time due to a variety of causes such as 1) object or camera motion; 2) generic photometric events including variations in illumination...
Michael J. Black, David J. Fleet, Yaser Yacoob
ECMDAFA
2008
Springer
110views Hardware» more  ECMDAFA 2008»
13 years 9 months ago
A Semantics-Based Aspect Language for Interactions with the Arbitrary Events Symbol
Abstract. In this paper we introduce an aspect language that can define crosscutting e
Roy Grønmo, Fredrik Sørensen, Birger...
ICANN
2010
Springer
13 years 8 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
AAAI
2000
13 years 9 months ago
STA: Spatio-Temporal Aggregation with Applications to Analysis of Diffusion-Reaction Phenomena
Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...
Iván Ordóñez, Feng Zhao