356 search results - page 6 / 72 » A computational approach to negative priming |
ICCV
2005
IEEE
14 years 29 days ago
2005
IEEE
Recognition of specular objects is particularly difficult because their appearance is much more sensitive to lighting changes than that of Lambertian objects. We consider an appr...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Modeling the beyond-topical aspects of relevance are currently gaining popularity in IR evaluation. For example, the discounted cumulated gain (DCG) measure implicitly models some...
GECCO
2005
Springer
14 years 26 days ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
BMCBI
2006
13 years 7 months ago
2006
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
GECCO
2010
Springer
14 years 4 days 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 ...