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Elementary school children often fail to correctly solve equivalence problems (e.g., 3+4+5=3+ ). This study investigated whether children’s difficulties are due, in part, to incorrectly encoding (internally representing) the equivalence problems and tested whether improvements in encoding would lead to improvements in problem solving. To address these issues, we developed a new measure of probl...

Recent developments in the remote sensing systems and image processing made it possible to propose a new method of the object classification and detection of the specific changes in the series of satellite Earth images (so called targeted change detection). In this paper we propose a formal problem statement that allows to use effectively the deep learning approach to analyze time-dependent ser...

This paper puts forward a robust change detection procedure able to analyze the transient seismic motion and the vibration structure response, as well as to determine the changes in the amplitude and frequency content of the structure. This technique makes use of an impulse invariant transformation that will enable us to obtain an equivalent model of the vibration structure, represented by a pa...

Abstract Autism is characterized by atypical use of social communicative cues, such as another person’s gaze or point. Despite these real-world difficulties, experimental manipulations often reveal minimal group differences. One factor that may contribute to this failure to find differences is the use of oversimplified and decontextualized social stimuli to examine these behaviors (e.g., a solo...

In this paper we investigate Bayesian visual tracking based on change detection. Although in many proposals change detection is key for tracking, little attention has been paid to sound modeling of the interaction between the change detector and the tracker. In this work, we develop a principled framework whereby both processes can virtuously influence each other according to a Bayesian loop: c...

This paper addresses the problem of cross-domain change detection from a novel perspective of image-to-image translation. In general, change detection aims to identify interesting changes between a given query image and a reference image of the same scene taken at a different time. This problem becomes a challenging one when query and reference images involve different domains (e.g., time of th...

 A new change detection algorithm applying to SAR images of urban areas affected by earthquake is here presented. It relies on the inversion of deterministic scattering models fully describing the interactions between a rough ground and a canonical parallelepiped-shaped building.

The intentional damages to local Cultural Heritage sites carried out in recent months by the Islamic State have received wide coverage from the media worldwide. Earth Observation data provide important information to assess these damages in such non-accessible areas, and automated image processing techniques would be needed to speed up the analysis if a fast response is desired. This paper show...

Several techniques for detecting temporal changes in satellite synthetic aperture radar ( S A R ) imagery are compared using both theoretical predictions and spaceborne S A R data collected by the European first Remote Sensing Satellite, ERS1. In a first set of techniques, changes are detected based on differences in the magnitude of the signal intensity between two dates. Ratioing of the multi...