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PRL
2011
13 years 4 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
ICIP
2008
IEEE
14 years 11 months ago
Complex discriminant features for object classification
A new algorithm for the design of complex features, to be used in the discriminant saliency approach to object classification, is presented. The algorithm consists of sequential r...
Sunhyoung Han, Nuno Vasconcelos
ICPR
2008
IEEE
14 years 3 months ago
Correspondences of point sets using Particle Filters
The paper shows how Particle Filters can be used to establish visually consistent partial correspondences between similar features in unrestricted 2D point sets representing shape...
Rolf Lakämper, Shusha Li, Marc Sobel
BMCBI
2010
150views more  BMCBI 2010»
13 years 9 months ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
ML
2000
ACM
13 years 9 months ago
Randomizing Outputs to Increase Prediction Accuracy
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
Leo Breiman