University of Marne-la-Vallée

About: University of Marne-la-Vallée is a based out in . It is known for research contribution in the topics: Estimator & Context (language use). The organization has 831 authors who have published 1855 publications receiving 55316 citations.

Combinatorial configurations of fibered polynomials

Abstract: We study from a combinatorial point of view quadratic fibered polynomials. The main object of this paper is the construction of a combinatorial model of a subset of the parameter space. This set (the configuration space) is proved to be a Hausdorff compact and connected space. Then, we prove that an abstract configuration which is non-recurrent can be uniquely realized by a quadratic fibered polynomial.

High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images

Abstract: We address the problem of parsing images of building facades. The goal is to segment images, assigning to the resulting regions semantic labels that correspond to the basic architectural elements. We assume a top-down parsing framework based on a 2D shape grammar that encodes a prior knowledge on the possible composition of facades. The algorithm explores the space of feasible solutions by generating the possible configurations of the facade and comparing it to the input data by means of a local, pixel- or patch-based classifier. We propose new bottom-up cues for the algorithm, both for evaluation of a candidate parse and for guiding the exploration of the space of feasible solutions. The method that we propose benefits from detection-based information and leverages on the similar appearance of elements that repeat in a given facade. Experiments performed on standard datasets show that this use of more discriminative bottom-up cues improves the convergence in comparison to state-of-the-art algorithms, and gives better results in terms of precision and recall, as well as computation time and performance deviation.

Autonomous Identification and Optimal Selection of Popular Smart Vehicles for Urban Sensing - An Information-centric Approach

Abstract: Today, vehicles are becoming powerful sensor platforms capable of collecting, storing, and sharing large amounts of sensory data by constant monitoring of urban streets. It is quite challenging to upload such data from all vehicles to the infrastructure due to limited bandwidth resources and high cost. This invokes the need to identify the appropriate vehicles, important for different urban sensing tasks based on their natural mobility. This paper address this problem of leveraging the self-decision making ability of a “smart vehicle” to measure its relative importance in the network. To do so, we present InfoRank as an information-centric algorithm for a vehicle to first autonomously rank different location-aware information. It then uses the information importance along its mobility pattern to find its importance in the network. We also present a selection algorithm to find the best ranked vehicles for urban sensing and vicinity monitoring to achieve a desired coverage within a limited budget. Our vehicle ranking system is the first step toward identifying the best information hubs to be used in the network for the efficient collection, storage, and distribution of urban sensory information. We evaluate InfoRank under a scalable simulation environment using realistic vehicular mobility traces. Results show that the proposed ranking system efficiently identified socially important vehicles in comparison to other ranking schemes.

Theoretical spectroscopic data for the x2b1 and a2a1 states of h2s

Abstract: Coupled electron pair (CEPA) electronic wave functions have been used to calculate the three-dimensional potential energy functions of the two lowest doublet states X2B1 and A2A1 of H2S+. The near-equilibrium potential for the X2B1 state has been used in variational calculations of the ro-vibrational energy levels up to 10 000 cm−1. Rotationally resolved absorption spectra of the three fundamental transitions have been calculated ab initio using the three-dimensional electric dipole moment functions and the ro-vibrational eigenfunctions. The absolute line strengths are given for the most intense transitions.

A Compressed Sensing Approach to Frame-Based Multiple Description Coding

Abstract: In this paper, we consider a two description coding scheme based on a general frame synthesis operator. Through some approximations of the original rate-distortion problem, the design of the efficiently encoded coefficients is formulated as a convex optimization problem. We also show that there exists a close link between the proposed coding strategy and compressed sensing problems. Simulations results are provided to show the validity of our approach.