Spatial learning in the cuttlefish Sepia officinalis: preference for vertical over horizontal information

Inspired by both multi-layer feature composition in object detection and adaptive inference architec- tures in classification, the proposed method, dubbed Dynamic Hyperpixel

Second, visual relations are subject to important internal variability: in the visual world, the same relation can have different visual appearance, while the same visual entity can

color correction statistical learning local / trained for a very fast using LUTs using a of non-linear pixel-wise with range of lighting conditions (3.75 ms per frame or 266

An ad- ditional limitation of D I V A is that the value function V is learned from a set of trajectories obtained from a ”naive” controller, which does not necessarily reflect

Dans le chapitre 3, nous proposerons un nouveau modèle d’apprentissage multi- tâche, afin de résoudre le problème d’apprentissage par transfert pour SVM 1-classe avec un changement

The goal of a meta-active learning system is to learn an active-learning strategy such that, for each problem, coming with a training dataset of unlabeled examples, it can predict

(2013a) used OMR to show differences of visual capacities based on intensity and polarization contrasts in young cuttlefish previously reared in clear water (from hatching to 30 days

A video recording during an analysis of the professional practice of the female participants, brought to light questions of this experience: how to analyze the artist notebooks