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This is a project for Calculus 2 students at Fitchburg State University. This project walks students through two examples of using definite integrals to determine the volume of objects: a bundt cake serves as the solid of revolution and the students build a structure from play dough that is not a solid of revolution.

Modelo LaTex para preparação do documento final de Monografia TCC O modelo está em conformidade com ABNT NBR Faculdade do Piaui

Template for submissions to Elsevier journals using the elsarticle.cls (v3.3) document class. Please use and set your project's main document to one of the following, depending on the citation scheme you need: elsarticle-template-num.tex, template file for numerical citations elsarticle-template-harv.tex, template file for name-year citations elsarticle-template-num-names.tex, template file for numerical citations + new natbib option. Eg. Jones et al. [21]

University of New Mexico templates for proposal and dissertation.

Master dissertation thesis template for master students

Plantilla para crear ejercicios

An introduction to Telescoping Series and Sums.

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.

Reseña del Autor del premio Nobel