1895 search results - page 257 / 379 » Function learning from interpolation |
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
BIBM
2008
IEEE
15 years 4 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
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ECML
2007
Springer
15 years 4 months ago
2007
Springer
The availability of techniques for comparing descriptions has many applications in Artificial Intelligence, ranging from description selection to flexible matching, from instance...
AAAI
2007
15 years 8 days ago
2007
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...