spatio-temporal features
Identification of sparse spatio-temporal features in Evoked Response Potentials
... and temporal characteristics. Identification of spatio-temporal features improves single-trial classifica- tion performance and allows a better understanding of the underlying ...the ...
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Evaluation of local spatio-temporal features for action recognition
... of features per ...densest features (44 features/frame) and it is the slowest one ...sparsest features (19 features/frame) and is consequently the most effi- cient ...more ...
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On spatio-temporal granularity of optimal delivery tours
... the spatio-temporal features of the data-set, which describe the amount of information degradation in the data-set along both ...this spatio-temporal granularity on the quality of the ...
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Spatio-temporal Probabilistic Short-term Forecasting on Urban Networks
... Abstract: The probabilistic forecasting method described in this work is designed to leverage spatial and temporal dependency of urban traffic networks in order to provide accurate predictions for an horizon up to ...
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Spatio-temporal coupling with the 3D+t motion Laplacian
... combine temporal information with spa- tial trajectory of the root of the skeleton in ...a temporal smoothing term is added to the op- timized energy ...
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Mining Spatio-Temporal Metadata for Satellite Images Interpretation
... The user control module is in charge of supervision and interaction with the operator. The blackboard structure of this module contains a symbolic description of the scene. The dynamic reasoning module is the center of ...
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Spatio-temporal convolutional neural networks for failure prediction
... of features x ...the temporal and the spatial dimensions for a given feature and not on that of the different features between them- ...to spatio-temporal CNN developed for video ...
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Using Closed n-set Patterns for Spatio-Temporal Classification
... We consider A c as the union of latent attributes and the class attribute. It thus enables the discovery of patterns that can be seen as a maximal spatio-temporal context having the same class value. Since ...
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Precise Spatio-Temporal Electromagnetic Fault Injections on Data Transfers
... VI. CONCLUSION In this paper, we demonstrate on experimental basis that EMFI makes it possible to corrupt data fetched from the embedded Flash memory of a microcontroller with no observable effect on the code execution. ...
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Spatio-Temporal Grids for Daily Living Action Recognition
... Fig. 4 represents a bar plot showing how different spatio- temporal grids contribute to the actions indicating a con- textual relationship. For actions like relaxing on couch and using laptop, the ...
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Managing landscape spatio-temporal heterogeneity for biodiversity conservation
... Eprints ID : 17484 To cite this version : Sirami, Clélia Managing landscape spatio- temporal heterogeneity for biodiversity conservation. (2016) In: International Conference of Ecological Sciences - ...
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Vehicle Trajectory Estimation Using Spatio-Temporal MCMC
... the spatio-temporal deferred approach processes over the whole data set, thus ensuring time ...the spatio- temporal deferred approach, unlike the sequential approach, ensures total ...
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Spatio-temporal distribution of outer-rise seismic sequences
... Spatio-temporal distribution of outer-rise seismic sequences (sladen@geoazur.unice.fr) Université Côte d'Azur, CNRS, IRD, Observatoire de la Côte d'Azur, Géoazur - France As they enter the subduction zone, ...
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Towards a Spatio-Temporal Agent-Based Recommender System
... a Spatio-temporal Cognitive Agent-based Recommender ...model temporal knowledge, while fuzzy topo- logical relations are defined in terms of region connection cal- culus [13], where regions are ...
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Spatio-temporal metadata filtering and synchronising invideo surveillance
... In the following, we present research works aiming at organizing and retrieving visual content based on spatio- temporal information. [6], proposes a system (SEVA) that annotates each frame of a video with ...
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Studying Media Events through Spatio-Temporal Statistical Analysis
... — To study the differences between news feeds in attention for an event. We propose to use Hidden Markov Models (HMMs) to describe the evolution of a media event. HMMs are flexible discrete models of time series which ...
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Modelling Spatio-temporal Dynamic of Ribosome During Translation
... Carole Chevalier 1 , Jean-Charles Walter 1 , John Palmeri 1 , Frédéric Geniet 1 , Jérôme Dorignac 1 , Nils-Ole Walliser 1 , Eric Rivals 2 , Damien Paulet 2 , Alexandre David 3 1 Laboratoire Charles Coulomb (L2C) 2 ...
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Using Closed n-set Patterns for Spatio-Temporal Classification
... a spatio-temporal classification approach, called Closed n-set Spatio-Temporal Classification (CnSC) which is based on closed n-set pattern mining in hierarchical contextual data and ...
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Learning to track for spatio-temporal action localization
... the temporal domain, multiplied by the aver- age of the IoU between boxes averaged over all overlapping ...for spatio-temporal lo- calization ...
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Spatio-temporal metamodeling for West African monsoon
... Keywords: spatio-temporal modeling, filtering, multivariate penalized regression ...strong spatio-temporal variability whose causes have not yet been determined in an unequivocal ...that ...
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