228 search results - page 26 / 46 » Large Deviation Methods for Approximate Probabilistic Infere... |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
IJCV
2008
13 years 7 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
GIS
2007
ACM
14 years 8 months ago
2007
ACM
Many Geographic Information System (GIS) applications must handle large geospatial datasets stored in raster representation. Spatial joins over raster data are important queries i...
WISE
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Approximation has been identified as a potential way of reducing the complexity of logical reasoning. Here we explore approximation for speeding up instance retrieval in...