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160
Voted
PAKM
2000
15 years 3 months ago
2000
Acknowledging the "untidiness of knowledge work", we agree that organizational learning calls for flexible and adaptable IT support. However, recurring situations which ...
128
Voted
ICA
2010
Springer
15 years 1 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
171
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a novel method for modeling dynamic visual
phenomena, which consists of two key aspects. First, the in-
tegral motion of constituent elements in a dynamic scene is
ca...
133
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
117
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...