Concept

Visual variable

Related publications (28)

At what spatial scale does natural selection operate? Using multiscale frameworks to calibrate the effects of environmental factors across landscape continuums

Patterns in nature arise from processes interacting across a continuum of spatial scales, where new relationships emerge at each level of investigation. These patterns are nested features encompassing fine-scale local patterns, such as topography and geolo ...

EPFL2024

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Machine learning models trained with passive sensor data from mobile devices can be used to perform various inferences pertaining to activity recognition, context awareness, and health and well-being. Prior work has improved inference performance through t ...

New York2023

Learning and leveraging shared domain semantics to counteract visual domain shifts

Róger Bermúdez Chacón

One of the main limitations of artificial intelligence today is its inability to adapt to unforeseen circumstances. Machine Learning (ML), due to its data-driven nature, is particularly susceptible to this. ML relies on observations in order to learn impli ...

EPFL2020

Visual Attention and Perceptual Quality in Omnidirectional Imaging

Evgeniy Upenik

Omnidirectional imaging has reached a level of widespread availability driven by recent advances in integrated circuit technology, image sensors, and computer graphics which allow now capturing, rendering and displaying of such type of immersive content in ...

EPFL2020

Nested oscillations and brain connectivity during sequential stages of feature-based attention

David Pascucci, Gijs Plomp

Brain mechanisms of visual selective attention involve both local and network-level activity changes at specific oscillatory rhythms, but their interplay remains poorly explored. Here, we investigate anticipatory and reactive effects of feature-based atten ...

2020

A nonparametric method for producing isolines of bivariate exceedance probabilities

Emeric Rolland Georges Thibaud

We present a method for drawing isolines indicating regions of equal joint exceedance probability for bivariate data. The method relies on bivariate regular variation, a dependence framework widely used for extremes. The method we utilize for characterizin ...

SPRINGER2019

Seismic vulnerability assessment of existing buildings

One of the main research areas of the Applied Computing and Mechanics laboratory (IMAC) at the École Polytechnique Fédérale de Lausanne (EPFL) is the seismic risk assessment of the existing building stock at an urban scale. Such analysis enables to forecas ...

2018

Penser (par) la carte

Carole Thérèse Lanoix

What do Marine Drive and Shibuya have in common? Both the long promenade at the southern end of Mumbai, and the gigantic pedestrian crossing in the heart of the Japanese capital, are places where one walks. This thesis discusses places of convergence and o ...

EPFL2017

Natural capital data visualization to promote sustainable decision making

Charlotte Gisèle Weil

In order to develop approaches to manage environmental assets sustainably and take nature more into account in major decisions, natural capital assessments reveal the specific benefits provided by nature. Effective communication, including clear visualizat ...

2017

Total Variation Regularization of Shape Signals

Martin Kurt Storath

This paper introduces the concept of shape signals, i.e., series of shapes which have a natural temporal or spatial ordering, as well as a variational formulation for the regularization of these signals. The proposed formulation can be seen as the shape-va ...

IEEE2015

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