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Methods for large volume image analysis Applied to Early detection of Alzheim...
In this thesis we want to explore novel image analysis methods for the early detection of metabolic changes in the human brain caused by Alzheimer's disease (AD). We... -
Extraction des caractéristiques pour la classification de la maladie de Parki...
Parkinson's disease (PD) is a chronic, progressive disorder of movement, which means that the symptoms persist and worsen over time. While the voices seem to be... -
A Clustering method for rules learning and information retrieval
Data clustering is a major, but a hard, task in the unsupervised learning domain. This process is used in various context such as Knowledge Discovery, representation... -
Condition Monitoring Using Automatic Spectral Analysis
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Classification Automatique de l'hypothyroïdie
This report invites you to discover a new diagnostic method for a very important disease the "hypothyroidism" caused by an imbalance of thyroid hormones involving... -
Hyperdisk Based Large Margin Classifiers
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Qualitative judgements of resemblance between road accident cases: What degre...
In road accident research, judgements of overall resemblance between accident cases are sometimes used in order to group similar instances and to describe... -
A Stream-Based Semi-Supervised Active Learning Approach for Document Classifi...
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The classification of micrometeorites
Due to their small size, the mineralogical and chemical properties of micrometeorites (MMs) are not representative of their parent bodies on the centimeter to meter... -
Automatic indexing of multimedia documents as a starting point to annotation ...
Automatic text analysis widened the perspective of work on document contents by opening up the studies on the linguistic productions. In this case, we are using... -
Image processing for the non destructive characterization of porous media. Ap...
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Cells clonal selection for Breast Cancer classification
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Entre logique qualification et logique compétence, comment reconnaître les co...
En dépit d'un contexte économique difficile et de marges de manoeuvre financières limitées, la plupart des entreprises prennent conscience de la nécessité de... -
Model-Based Clustering of Temporal Data
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Electrochemical biosensors: recommended definitions and classification
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Model-based functional mixture discriminant analysis with hidden process regr...
In this paper, we study the modeling and the classification of functional data presenting regime changes over time. We propose a new model-based functional mixture... -
Evaluation of four atmospheric correction algorithms for MODIS-Aqua images ov...
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A Dynamic clustering approach for tracking the evolution of railway components
This study was motivated by the characterization of the dynamic evolution of some critical railway components (point machines and door systems) using condition... -
Classification with Minimax Fast Rates for Classes of Bayes Rules with Sparse...
We construct a classifier which attains the rate of convergence $\log n/n$ under sparsity and margin assumptions. An approach close to the one met in approximation...
