
Featureenhanced Generation and Multimodality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Using multimodal Magnetic Resonance Imaging (MRI) is necessary for accur...
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Pattern Spotting in Historical Documents Using Convolutional Models
Pattern spotting consists of searching in a collection of historical doc...
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Scale matrix estimation under databased loss in high and low dimensions
We consider the problem of estimating the scale matrix Σ of the additif ...
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Une véritable approche ℓ_0 pour l'apprentissage de dictionnaire
Sparse representation learning has recently gained a great success in si...
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Correntropy Maximization via ADMM  Application to Robust Hyperspectral Unmixing
In hyperspectral images, some spectral bands suffer from low signalton...
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Maximum Correntropy Unscented Filter
The unscented transformation (UT) is an efficient method to solve the st...
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A multiagent urban traffic simulation
We built a multiagent simulation of urban traffic to model both ordinary...
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Emotion: Appraisalcoping model for the "Cascades" problem
Modelling emotion has become a challenge nowadays. Therefore, several mo...
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Different goals in multiscale simulations and how to reach them
In this paper we sum up our works on multiscale programs, mainly simulat...
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Rational Kernels for Arabic Stemming and Text Classification
In this paper, we address the problems of Arabic Text Classification and...
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Oracle inequalities for the stochastic differential equations
This paper is a survey of recent results on the adaptive robust non para...
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Cryptanalysis of a public key encryption scheme based on QCLDPC and QCMDPC codes
This letter presents a cryptanalysis of the modified McEliece cryptosyst...
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Robust adaptive efficient estimation for a semiMarkov continuous time regression from discrete data
In this article we consider the nonparametric robust estimation problem ...
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Embedding a θinvariant code into a complete one
Let A be a finite or countable alphabet and let θ be a literal (anti)mor...
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On efficient prediction and predictive density estimation for spherically symmetric models
Let X,U,Y be spherically symmetric distributed having density η^d +k/2 ...
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Asymptotically Optimal Pointwise and Minimax Changepoint Detection for General Stochastic Models With a Composite PostChange Hypothesis
A weighted ShiryaevRoberts change detection procedure is shown to appro...
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A Unified Multilingual Handwriting Recognition System using multigrams sublexical units
We address the design of a unified multilingual system for handwriting r...
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Sequential Model Selection Method for Nonparametric Autoregression
In this paper for the first time the nonparametric autoregression estima...
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Adaptive model selection method for a conditionally Gaussian semimartingale regression in continuous time
This paper considers the problem of robust adaptive efficient estimating...
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Sharp non asymptotic oracle inequalities for non parametric computerized tomography model
We consider non parametric estimation problem for stochastic tomography ...
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Practical Algebraic Attack on DAGS
DAGS scheme is a key encapsulation mechanism (KEM) based on quasidyadic...
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Screening Sinkhorn Algorithm for Regularized Optimal Transport
We introduce in this paper a novel strategy for efficiently approximate ...
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Fast Cartesian Tree Matching
Cartesian tree matching is the problem of finding all substrings of a gi...
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Improved estimation via model selection method for semimartingale regressions based on discrete data
We consider the robust adaptive nonparametric estimation problem for a p...
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Complete VariableLength Codes: An Excursion into Word Edit Operations
Given an alphabet A and a binary relation τ⊆ A * x A * , a language X ⊆ ...
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Statistical learning for sensor localization in wireless networks
Indoor localization has become an important issue for wireless sensor ne...
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Multisource Domain Adaptation via Weighted Joint Distributions Optimal Transport
The problem of domain adaptation on an unlabeled target dataset using kn...
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A Novel Random Forest Dissimilarity Measure for MultiView Learning
Multiview learning is a learning task in which data is described by sev...
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Random Forest for Dissimilaritybased Multiview Learning
Many classification problems are naturally multiview in the sense their...
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scikitdyn2sel – A Dynamic Selection Framework for Data Streams
Mining data streams is a challenge per se. It must be ready to deal with...
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Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Magnetic Resonance Imaging (MRI) is a widely used imaging technique to a...
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Including Keyword Position in Imagebased Models for Act Segmentation of Historical Registers
The segmentation of complex images into semantic regions has seen a grow...
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Deep Calibration of Interest Rates Model
For any financial institution it is a necessity to be able to apprehend ...
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A Triattention Fusion Guided Multimodal Segmentation Network
In the field of multimodal segmentation, the correlation between differe...
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Université de Rouen
With 28,460 students and 12 components, the University of Rouen Normandy is a multidisciplinary university.