Titlebook: Image Analysis and Recognition; 16th International C Fakhri Karray,Aurélio Campilho,Alfred Yu Conference proceedings 2019 Springer Nature S

Interferons

Real-Time Person Re-identification at the Edge: A Mixed Precision Approachtected unknown people throughout the video stream. Many re-ID algorithms today exemplify state of the art results, but not much work has been done to explore the deployment of such algorithms for computation and power constrained real-time scenarios. In this paper, we study the effect of using a lig

狗窝

Product Recommendation Through Real-Time Object Recognition on Image Classifiersl methods were researched and developed to make recommendations for products belonging to the store catalog. Often the data used in recommendation methods involves user interactions, being images and video types of information somewhat unexplored. This work, which we call Xanathar, proposes to exten

提升

Endearing

Looking Under the Hood: Visualizing What LSTMs Learnack any method for summarizing or analyzing what a network has learned, once it’s trained. This paper presents two methods for visualizing concepts learned by RNNs in the domain of action recognition. The first method shows the sensitivity of joints over time. The second generates synthetic videos t

MOT

installment

entrance

遵循的规范

Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component ng the components, our model is able to reach convergence as well as obtain the optimal number of clusters. By tackling real life challenging problems including spam detection and object clustering, the proposed model’s flexibility and performance are validated.

不能平静

自然环境

A Deep Learning-Based Noise-Resilient Keyword Spotting Engine for Embedded Platformsdded platforms used currently in the fast growing market of the Internet of Things (IoT) and in standalone systems have still considerable processing power, memory and battery constraints. In IoT and smart devices applications, speakers are usually far from the microphone resulting in severe distort