Local and global spatio-temporal entropy indices based on distance- ratios and co-occurrences distributions

Jigsaw Puzzle Solving Using Local Feature Co-occurrences In Deep Neural Networks.. Marie-Morgane Paumard, David Picard,

The proposed classification method will be thus able to classify data of various types (categorical data, mixed data, functional data, networks, etc).. The methodology is as

de découvrir ce qu’est l’apprentissage ou la formation à distance (notamment pour l’apprentissage des langues) et de s’approprier un certain nombre de notions

Local contributions to the H ST KM ðCÞ (left), local evaluations of the self-k-spatial entropy H kST so ðC ; dS ; dTjV Þ (right) and of the discriminant-ratio spatial entropy H dST o

The hypothesis of syllabic unit existence has been reinforced by different studies such as those describing lenition and fortition principles, experimental data on

Afterwards, for abstracts ranked to be related to host-pathogen interactions in plants (application dataset), LAITOR has generated a list of co-occurrences and a network

Before an interaction can begin, there is a prerequisite condition that we call co-occurrence: Certain elements of interest must have been assembled in a “suitable proximity” —

We show relation of the negative evidence to the centering of BOW vectors (mean subtraction). Secondly, both BOW and VLAD represen- tations are further improved by exploiting