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Quantifying spatial relations to discover handwritten graphical symbols
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Unsupervised amplitude and texture based classification of SAR images with mu...
We combine both amplitude and texture statistics of the Synthetic Aperture Radar (SAR) images for classification purpose. We use Nakagami density to model the class... -
A Comparison of Texture and Amplitude based Unsupervised SAR Image Classifica...
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Extraction of temporally correlated features from dynamic vision sensors with...
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Osom: A method for building overlapping topological maps
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A new approach for automatizing the analysis of research topics dynamics: app...
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Scikit-learn: Machine Learning in Python
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Connectionist and Ethological Approaches for Discovering Salient Facial Movem...
Individual Facial movements signal various social information to other persons, like the gender of the sender. We used an ethological and a connectionist approaches in... -
An incremental SOM for web navigation patterns clustering
In this paper, we present a new clustering method which makes incremental the construction of an unsupervised neural model (Self Organizing Map: SOM). In other words,... -
Weakly supervised approaches for quality estimation
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Data mining and knowledge discovery in materials science and engineering: A p...
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On Some Unsupervised Learning Problems for Highly Dependent Time Series
This thesis is devoted to the theoretical analysis of unsupervised learning problems involving highly dependent time-series. Two fundamental problems are considered,... -
Persistence-Based Clustering in Riemannian Manifolds
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Efficient Eigen-updating for Spectral Graph Clustering
Correction of several typos -
Unsupervised Connectionist Algorithms for Clustering an environmental data se...
Article dans revue scientifique avec comité de lecture. -
A Self Organizing Map (SOM) Extended Model for Information Discovery
Colloque avec actes et comité de lecture. internationale. -
Fuzzy clustering fort pattern recognition diagnosis of technological system: ...
International audience
