Concept
Affine shape adaptation
Related publications (43)
Blob properties in full-turbulence simulations of the TCV scrape-off layer
Ivo Furno, Paolo Ricci, Benoît Labit, Fabio Avino, Federico Nespoli, Federico David Halpern, Fabio Riva
To investigate blob properties in the tokamak scrape-off layer (SOL), we perform dedicated numerical nonlinear simulations of plasma turbulence in the SOL of a TCV discharge using the Global Braginskii Solver code. A blob detection technique is used for th ...
2017Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes
The spatial structure of the environment (e.g., the configuration of habitat patches) may play an important role in determining the strength of local adaptation. However, previous studies of habitat heterogeneity and local adaptation have largely been limi ...
Wiley-Blackwell2016Domain Adaptation for Microscopy Imaging
Pascal Fua, Carlos Joaquin Becker, Christos Marios Christoudias
Electron and Light Microscopy imaging can now deliver high-quality image stacks of neural structures. However, the amount of human annotation effort required to analyze them remains a major bottleneck. While Machine Learning algorithms can be used to help ...
Institute of Electrical and Electronics Engineers2015Steerable PCA for Rotation-Invariant Image Recognition
Michaël Unser, Cédric René Jean Vonesch, Frédéric Stauber
In this paper, we propose a continuous-domain version of principal-component analysis, with the constraint that the underlying family of templates appears at arbitrary orientations. We show that the corresponding principal components are steerable. Our met ...
SIAM2015Receptive Fields Selection for Binary Feature Description
Pascal Fua, Zhiye Wang, Tomasz Piotr Trzcinski, Bin Fan
Feature description for local image patch is widely used in computer vision. While the conventional way to design local descriptor is based on expert experience and knowledge, learning based methods for designing local descriptor become more and more popul ...
Institute of Electrical and Electronics Engineers2014Non-Linear Domain Adaptation with Boosting
Pascal Fua, Carlos Joaquin Becker, Christos Marios Christoudias
A common assumption in machine vision is that the training and test samples are drawn from the same distribution. However, there are many problems when this assumption is grossly violated, as in bio-medical applications where different acquisitions can gen ...
2013Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames
Dimitri Nestor Alice Van De Ville, Adrien Raphaël Depeursinge
We propose near-affine-invariant texture descriptors derived from isotropic wavelet frames for the characterization of lung tissue patterns in high-resolution computed tomography (HRCT) imaging. Affine invariance is desirable to enable learning of nondeter ...
Institute of Electrical and Electronics Engineers2012On Sums of Locally Testable Affine Invariant Properties
Ghid Maatouk, Elena Grigorescu
Affine-invariant properties are an abstract class of properties that generalize some central algebraic ones, such as linearity and low-degree-ness, that have been studied extensively in the context of property testing. Affine invariant properties consider ...
Springer2011Spatio-Chromatic Decorrelation by Shift-Invariant Filtering
Pascal Fua, Sabine Süsstrunk, Matthew Brown
In this paper we derive convolutional filters for colour image whitening and decorrelation. Whilst whitening can be achieved via eigendecomposition of the image patch covariance, this operation is neither efficient nor biologically plausible. Given the shi ...
2011