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The prices of public goods and public bads for hotel rooms in Nord-Pas de Calais, France
No full textMost of the articles in the literature based on hedonic analysis focus on the private characteristics provided by accommodations. And if the area where is located the hotel is taken into account with the identification of public good, it is exclusively on the positive side. The use of Geolocalized Data Information (GIS) with a hedonic analysis permits to measure both negative and positive effects on prices. The aim of this article is to provide an indirect assessment of the detrimental impact of industrial legacy on the tourism attractiveness of a region by studying its effect on hotel rates. The hedonic method has been used to decompose hotel prices in Nord-Pas de Calais, an old industrial region in north of France, into the implicit prices of a set of attributes, both private and public, including the repellent public attributes inherited from the industrial past of that region
Consistent Optical Flow Maps for full and micro facial expression recognition
No full textConsistent Optical Flow Maps for full and micro facial expression recognition. Available from: https://www.researchgate.net/publication/311517985_Consistent_Optical_Flow_Maps_for_full_and_micro_facial_expression_recognition [accessed Apr 7, 2017]International audienceA wide variety of face models have been used in the recognition of full or micro facial expressions in image sequences. However, the existing methods only address one family of expression at a time, as micro-expressions are quite different from full-expressions in terms of facial movement amplitude and/or texture changes. In this paper we address the detection of micro and full-expression with a common facial model characterizing facial movements by means of consistent Optical Flow estimation. Optical Flow extracted from the face is generally noisy and without specific processing it can hardly cope with expression recognition requirements especially for micro-expressions. Direction and magnitude statistical profiles are jointly analyzed in order to filter out noise and obtain and feed consistent Optical Flows in a face motion model framework. Experiments on CK+ and CASME2 facial expression databases for full and micro expression recognition show the benefits brought by the proposed approach in the filed of facial expression recognition
Multi-Sensor Fusion Approach with Fault Detection and Exclusion based on the Kullback-Leibler Divergence: Application on Collaborative Multi-Robot System
No full textInternational audienceThis paper presents a multi-sensor fusion strategy able to detect the spurious sensors data that must be eliminatedfrom the fusion procedure. The used estimator is the informational form of the Kalman Filter (KF) namely Information Filter (IF).In order to detect the erroneous sensors measurements, the Kullback-Leibler Divergence (KLD) between the a priori and aposteriori distributions of the IF is computed. It is generated from two tests: One acts on the means and the other deals with thecovariance matrices. Optimal thresholding method based on a Kullback-Leibler Criterion (KLC) is developed and discussed inorder to replace classical approaches that fix heuristically the false alarm probability.Multi-robot systems became one of the major fields of study in the indoor environment where the environmental monitoring andthe response to crisis must be ensured. Consequently, the robots required to know precisely their positions and orientations inorder to successfully perform their mission. Fault detection and exclusion (FDE) play a crucial role in enhancing the integrity oflocalization of the multi-robot team. The main contributions of this paper are: - developing a new method of sensors data fusionthat tackle the erroneous data issues, - developing a Kullback-Leibler based criterion for the threshold optimization, - Validationwith real experimental data from a group of robots
La Nouvelle Iconologie Historique de Jean-Charles Delafosse, faire parler l'ornement
No full textInternational audienceArchitecte, décorateur et professeur de dessin, Jean-Charles Delafosse propose, en 1768, une adaptation toute personnelle de l’Iconologie de Cesare Ripa. Il livre 110 estampes accompagnées de 40 pages de texte, pour servir de modèles aux artistes. L’association du texte et de l’image, la référence aux hiéroglyphes, que Delafosse affirme vouloir rendre plus propre à l’ornement, et un agencement presque épigraphique des attributs sur des supports architecturés conduisent à interroger le rapport qu’entretiennent les gravures avec le langage
Motion Segments Decomposition of RGB-D Sequences for Human Behavior Understanding
No full textInternational audienceIn this paper, we propose a framework for analyzing and understanding human behavior from depth videos. The proposed solution first employs shape analysis of the human pose across time to decompose the full motion into short temporal segments representing elementary motions. Then, each segment is characterized by human motion and depth appearance around hand joints to describe the change in pose of the body and the interaction with objects. Finally , the sequence of temporal segments is modeled through a Dynamic Naive Bayes classifier, which captures the dynamics of elementary motions characterizing human behavior. Experiments on four challenging datasets evaluate the potential of the proposed approach in different contexts, including gesture or activity recognition and online activity detection. Competitive results in comparison with state of the art methods are reported
Time to Slow Down for High-Frequency Trading? Lessons from Artificial Markets
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Toward Augmented Familiarity of the Audience with Digital Musical Instruments
No full textInternational audienceThe diversity and complexity of Digital Musical Instruments often lead to a reduced appreciation of live performances by the audience. This can be linked to the lack of familiarity they have with the instruments. We propose to increase this familiarity thanks to a trans-disciplinary approach in which signals from both the musician and the audience are extracted, familiarity analyzed, and augmentations dynamically added to the instruments. We introduce a new decomposition of familiarity and the concept of correspondences between musical gestures and results. This paper is both a review of research that paves the way for the realization of a pipeline for augmented familiarity, and a call for future research on the identified challenges that remain before it can be implemented
Ontology-Mediated Query Answering for Key-Value Stores
No full textInternational audienceWe propose a novel rule-based ontology language for JSON records and investigate its computational properties. After providing a natural translation into first-order logic, we identify relationships to existing ontology languages , which yield decidability of query answering but only rough complexity bounds. By establishing an interesting and non-trivial connection to word rewriting, we are able to pinpoint the exact combined complexity of query answering in our framework and obtain tractability results for data complexity. The upper bounds are proven using a query reformu-lation technique, which can be implemented on top of key-value stores, thereby exploiting their querying facilities