2073 search results - page 153 / 415 » Learning for Dynamic Subsumption |
136
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NC
1998
15 years 4 months ago
1998
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
144
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PAMI
2006
15 years 3 months ago
2006
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
121
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ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
144
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CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
158
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...