890 search results - page 49 / 178 » Learning a Generative Model for Structural Representations |
TSMC
2008
14 years 11 months ago
2008
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
AMC
2006
14 years 12 months ago
2006
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
ICML
2007
IEEE
16 years 18 days ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...