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Oral Health Advocacy Toolkit Strategies and Resources for Dental ...

https://dentistry.temple.edu/sites/dentistry/files/Oral_Health_Advocacy_Toolkit.pdf

In addition, Addendum C provides four scenarios that can be used to test students’ understanding of these components and their ability to use them. People who already work in the dental or medical professions are likely to find much of the toolkit helpful if they seek to assume oral health advocacy roles.

DeepSlicing: Collaborative and Adaptive CNN Inference With Low Latency

https://cis.temple.edu/~jiewu/research/publications/Publication_files/DeepSlicing_Collaborative_and_Adaptive_CNN_Inference_With_Low_Latency.pdf

1 INTRODUCTION THE last decade has witnessed the emergence of deep learning. As a representative, convolutional neural net-works (CNNs) are ubiquitously utilized in a variety of applications, e.g., image classification [1], [2], [3], object detection [4], [5], [6] and video analytics [7], [8], [9]. Equipped with dedicated CNNs, these applications can detect and classify objects from images ...

A Modern Introduction to Probability and Statistics

https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/A_modern_intro_probability_statistics_Dekking05.pdf

A modern introduction to probability and statistics. — (Springer texts in statistics) 1. Probabilities 2. Mathematical statistics I. Dekking, F. M.

TPAMI-0673-0906-2 1..11 - Temple University

https://cis.temple.edu/~latecki/Papers/PAMIshape08.pdf

Xiang Bai and Longin Jan Latecki, Senior Member, IEEE Abstract—This paper proposes a novel graph matching algorithm and applies it to shape recognition based on object silhouettes. The main idea is to match skeleton graphs by comparing the geodesic paths between skeleton endpoints. In contrast to typical tree or graph matching methods, we do not consider the topological graph structure. Our ...

Shape Descriptors for Non-rigidShapes with a Single Closed Contour

https://cis.temple.edu/~latecki/Papers/cvpr00.pdf

Abstract The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard gave a unique oppor-tunity to compare various shape descriptors for non-rigid shapes with a single closed contour. There are two main dif-ferences with respect to other comparison results reported in the literature: (1) For each shape descriptor, the exper-iments were carried out by an institute ...