Random Subwindows and Multiple Output Decision Trees for Generic Image Annotation

Concerning the selection methods, as mentioned in section I, our aim is not to find the optimal subset of individual classifiers among a large ensemble of trees, but rather to

Given a set of training images labelled into a finite number of classes by an expert, the goal of an automatic image classification method is to build a model that will be able

In this paper, we develop an explicit formula allowing to compute the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source..

François Moreews, Olivier Sallou, Yvan Le Bras, Grosjean Marie, Cyril Monjeaud, et al... A curated Domain centric shared Docker registry linked to the

In the case of plane Couette flow, for which no mean advection is present, turbulent spot growth can be split into two phases: in the first stage of their development, they grow in

This is not the only example where the author uses a contemporary source without reporting it: many historical anecdotes about Napoleon were directly adapted from the Duchess

The data ingested within SeaDataNet are earlier validated by data providers who assign corresponding quality flags, but a Quality Assurance Strategy has been implemented

For instance, a test image that has been classified by the extra-trees with a probability of 0.9 means that a great number of subwindows have been assigned a high probability of