Person
Frank Grégoire Jean de Morsier
This person is no longer with EPFL
Related publications (15)
Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers
Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud
Clustering algorithms have evolved to handle more and more complex structures. However, measures allowing to qualify the quality of such partitions are rare and only specic to certain algorithms. In this work, we propose a new cluster validity measure (CVM ...
Elsevier2015Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images
Frank Grégoire Jean de Morsier
The main challenge of new information technologies is to retrieve intelligible information from the large volume of digital data gathered every day. Among the variety of existing data sources, the satellites continuously observing the surface of the Earth ...
EPFL2014Fast detection of novel problematic patterns based on dictionary learning and prediction of their lithographic difficulty
Andreas Krause, Frank Grégoire Jean de Morsier, Maria Gabrani
Assessing pattern printability in new large layouts faces important challenges of runtime and false detection. Lithographic simulation tools and classification techniques do not scale well. We propose a fast pattern detection method by learning an overcomp ...
2014Non-linear Low-rank and Sparse Representation for Hyperspectral Image Analysis
Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud
In this paper, we tackle the problem of unsupervised classification of hyperspectral images. We propose a clustering method based on graphs representing the data structure, which is assumed to be an union of multiple manifolds. The method constraints the p ...
2014Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior
Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud
After a major flood catastrophe, a precious information is the delineation of the affected areas. Remote sensing imagery, especially synthetic aperture radar, allows to obtain a global and complete view of the situation. However, the detection of the flood ...
2013Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion
Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Tsirihasina Sitraka Ranoeliarivao
In this paper, we propose a strategy for fusing clustering maps obtained with different remote sensing sources. Dempster- Shafer (DS) Theory is a powerful fusion method that allows to combine classifications from different sources and handles ignorance, im ...
2013LAYOUT ASSESSMENT METHOD AND SYSTEM
Frank Grégoire Jean de Morsier, Virginia Estellers Casas, Nathalie Casati, Maria Gabrani
Candidate layout patterns can be assessed using a sparse pattern dictionary of known design layout patterns by determining sparse coefficients for each candidate pattern, reconstructing the respective candidate pattern, and determining reconstruction error ...
U.S. Patent and Trademark Office; U.S. DEPARTMENT OF COMMERCE2013Semi-Supervised Novelty Detection using SVM entire solution path
Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud
Very often, the only reliable information available to perform change detection is the description of some unchanged regions. Since sometimes these regions do not contain all the relevant information to identify their counterpart (the changes), we consider ...
Institute of Electrical and Electronics Engineers2013Estimation of Soil Moisture from Airborne Hyperspectral Imagery with Support Vector Regression
Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Jelena Stamenkovic
In this paper, we propose to estimate soil moisture in bare soils directly from hyperspectral imagery using support vector regression (nu-SVR). nu-SVR is a supervised non-parametric learning technique, e.g. making no assumption on the underlying data distr ...
2013Robust Phase-Correlation based Registration of Airborne Videos using Motion Estimation
Jean-Philippe Thiran, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud
This paper presents a robust algorithm for the registration of airborne video sequences with reference images from a different source (airborne or satellite), based on phase-correlation. Phase-correlations using Fourier-Melin Invariant (FMI) descriptors al ...
Springer-Verlag2013