Concept
Nonlinear dimensionality reduction
Publications associées (497)
Efficient Multi-dimensional Diracs Estimation with Linear Sample Complexity
Martin Vetterli, Thierry Blu, Hanjie Pan
Estimating Diracs in continuous two or higher dimensions is a fundamental problem in imaging. Previous approaches extended one dimensional methods, like the ones based on finite rate of innovation (FRI) sampling, in a separable manner, e.g., along the hori ...
2018Extending the Scope of the Density Overlap Region Indicator
In this thesis, original applications of the Density Overlap Region Indicator (DORI), a density dependent bonding descriptor capable of simultaneously capturing covalent and noncovalent interactions, are discussed. The use of scalar fields, such as DORI, w ...
EPFL2018Optimizing Image Denoising for Long-Range Brillouin Distributed Fiber Sensing
Luc Thévenaz, Marcelo Alfonso Soto Hernandez
Linear and nonlinear two-dimensional image processing approaches are analyzed with the aim of removing noise from data acquired by distributed optical fiber sensors based on Brillouin optical time-domain analysis (BOTDA). The impact of the filter parameter ...
2018Experimental study on forces exerted on buildings with openings due to extreme hydrodynamic events
Anton Schleiss, Michael Pfister, Davide Wüthrich, Ioan Nistor
Previous studies and field surveys showed that specific structural designs can decrease the load on free-standing buildings along the coast, providing safer vertical shelters. This experimental study investigated the effect of openings in buildings (window ...
2018Improving Spatial Data Processing by Clipping Minimum Bounding Boxes
Anastasia Ailamaki, Darius Sidlauskas, Eleni Tzirita Zacharatou
The majority of spatial processing techniques rely heavily on the idea of approximating each group of spatial objects by their minimum bounding box (MBB). As each MBB is compact to store (requiring only two multi-dimensional points) and intersection tests ...
IEEE2018On the theory of variance reduction for stochastic gradient monte carlo
Nicolas Henri Bernard Flammarion
We show that accelerated gradient descent, averaged gradient descent and the heavy-ball method for quadratic non-strongly-convex problems may be reformulated as constant parameter secondorder difference equation algorithms, where stability of the system is ...
2018