Publications related to Nonlinear dimensionality reduction

Motion Correction in Magnetic Resonance Imaging Using the Signal of Free-Induction-Decay

Magnetic resonance imaging (MRI) is highly susceptible to subject's motion and can significantly degrade image quality. In brain MRI exams, involuntary head movements can affect the sampled k-space data. Such unintended alterations may result in visible im ...

EPFL2016

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

Pascal Fua, Engin Türetken, Fethallah Benmansour, Przemyslaw Rafal Glowacki

We propose a novel Bayesian approach to automated delineation of curvilinear structures that form complex and potentially loopy networks. By representing the image data as a graph of potential paths, we first show how to weight these paths using discrimina ...

Institute of Electrical and Electronics Engineers2016

Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

Scalable Metric Learning via Weighted Approximate Rank Component Analysis

François Fleuret, Cijo Jose

We are interested in the large-scale learning of Mahalanobis distances, with a particular focus on person re-identification. We propose a metric learning formulation called Weighted Approximate Rank Component Analysis (WARCA). WARCA optimizes the precision ...

Springer Int Publishing Ag2016

Plug-and-play control of AC islanded microgrids with general topology

Giancarlo Ferrari Trecate

n this paper, we provide an extension of the scalable algorithm proposed in (Riverso et al., 2015) for the design of Plug-and-Play (PnP) controllers for AC Islanded microGrids (ImGs). The method in (Riverso et al., 2015) assumes DGUs are arranged in a load ...

2016

The complexity of schizophrenia: a battery of tests

Michael Herzog

Schizophrenia research has focused on single mechanisms mainly. Classically, a paradigm is chosen, such as a cognitive or perceptual test. The outcome is usually that schizophrenia patients perform worse than controls. Substantial research is then spent to ...

2016

Toward Large-Area Solar Energy Conversion with Semiconducting 2D Transition Metal Dichalcogenides

Kevin Sivula, Xiaoyun Yu

The recently discovered unique optoelectronic properties and chemical robustness of mono- or few-layer two-dimensional (2D) semiconducting transition metal dichalcogenides (TMDs) such as MoS2, WS2, MoSe2, and WSe2 have opened new possibilities for solar en ...

Amer Chemical Soc2016

Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction

Nikolaos Arvanitopoulos Darginis

In this paper, we propose a novel algorithm for dimensionality reduction that uses as a criterion the mutual information (MI) between the transformed data and their cor- responding class labels. The MI is a powerful criterion that can be used as a proxy to ...

Institute of Electrical and Electronics Engineers2015

Dimension embedding for big data in radio interferometry

Yves Wiaux, Rafael Eduardo Carrillo Rangel, Vijay Kartik

As radio telescope data is now increasingly high-dimensional, data reduction has become essential to reduce computational load while preserving accurate signal reconstruction. Gridding the continuous Fourier visibilities represents the standard approach to ...

2015

Motivic Donaldson-Thomas invariants for the one-loop quiver with potential

We compute the motivic Donaldson-Thomas invariants of the one-loop quiver, with an arbitrary potential. This is the first computation of motivic Donaldson-Thomas invariants to use in an essential way the full machinery of (mu) over cap -equivariant motives ...

Geometry & Topology Publications2015

Nonlinear dimensionality reduction

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Motion Correction in Magnetic Resonance Imaging Using the Signal of Free-Induction-Decay

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

Estimation Error of the Constrained Lasso

Scalable Metric Learning via Weighted Approximate Rank Component Analysis

Plug-and-play control of AC islanded microgrids with general topology

The complexity of schizophrenia: a battery of tests

Toward Large-Area Solar Energy Conversion with Semiconducting 2D Transition Metal Dichalcogenides

Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction

Dimension embedding for big data in radio interferometry

Motivic Donaldson-Thomas invariants for the one-loop quiver with potential

Motivic Donaldson-Thomas invariants for the one-loop quiver with potential

Motion Correction in Magnetic Resonance Imaging Using the Signal of Free-Induction-Decay

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

Estimation Error of the Constrained Lasso

Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction

Dimension embedding for big data in radio interferometry

Plug-and-play control of AC islanded microgrids with general topology

Scalable Metric Learning via Weighted Approximate Rank Component Analysis

The complexity of schizophrenia: a battery of tests

Toward Large-Area Solar Energy Conversion with Semiconducting 2D Transition Metal Dichalcogenides