1622 search results - page 223 / 325 » Learning a Hidden Matching |
161
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IJCV
2000
15 years 3 months ago
2000
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
113
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SAC
2008
ACM
15 years 2 months ago
2008
ACM
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...
128
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GECCO
2010
Springer
15 years 8 months ago
2010
Springer
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
114
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STOC
2003
ACM
16 years 3 months ago
2003
ACM
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
131
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...