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This is the LaTeX template for the Royal Society Open Science – a fast, open journal publishing high quality research across all of science, engineering and mathematics.

Computer vision systems can be applied to a wide variety of tasks, but some of the most interesting are those related with security and surveillance. Within this group, our application for Video Surveillance for Road Traffic Monitoring can be placed. We propose a solution based on machine learning and video analysis techniques that involves the whole process: database evaluation, background estimation, foreground segmentation, video stabilization and object tracking. As a result of this, our system will be able to monitorize some basic parameters of traffic flow as vehicles counting or speed estimation.

template for personal ads using the package "petiteannonce". Just print and spread to your city.

Livro Adaptado da Apostila do Rev. Everton Barcelos Tokashiki para Classes de Novos Membros da Igreja Presbiteriana do Brasil.

Paper presented at ICCV 2019. This paper targets the task with discrete and periodic class labels (e.g., pose/orientation estimation) in the context of deep learning. The commonly used cross-entropy or regression loss is not well matched to this problem as they ignore the periodic nature of the labels and the class similarity, or assume labels are continuous value. We propose to incorporate inter-class correlations in a Wasserstein training framework by pre-defining (i.e., using arc length of a circle) or adaptively learning the ground metric. We extend the ground metric as a linear, convex or concave increasing function w.r.t. arc length from an optimization perspective. We also propose to construct the conservative target labels which model the inlier and outlier noises using a wrapped unimodal-uniform mixture distribution. Unlike the one-hot setting, the conservative label makes the computation of Wasserstein distance more challenging. We systematically conclude the practical closed-form solution of Wasserstein distance for pose data with either one-hot or conservative target label. We evaluate our method on head, body, vehicle and 3D object pose benchmarks with exhaustive ablation studies. The Wasserstein loss obtaining superior performance over the current methods, especially using convex mapping function for ground metric, conservative label, and closed-form solution.

This Template can be used to prepare the Academic Curricular Seminar Report, Minor Project Report, Major Project Report and Industrial Training Report.

Gleiston Guerrero Ulloa's CV

Modelo de Poster para eventos de Lic. Inform.

En beamerskabelon til brug på Københavns Universitet efter KU's designguide på https://designguide.ku.dk/ For forslag til ændringer, problemer eller fejlrettelser bedes du kontakte imf@math.ku.dk
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