Computer Vision News - September 2021

3 Summary 29 Deep Learning and Microbiome Wrapping up! I hope you enjoyed again this month’s article. Even though the topic was a little bit different than usual, being able to get inspiration and example from other subjects is more than worthy. Sometimes, similar problems have been solved in other disciplines in various ways, and it would be unworthwhile to ignore this! Specifically, the use of the combined inference could be of great use for models using generative and discriminative approaches . With a combined/joint distribution in a computer vision setting , usually a complex, high-dimensional function, simplifying assumptions need to be made to arrive to solutions that are explainable in their duration. Examples of other discriminative networks on which this approach can be taken: linear regression, support vector machines (SVMs) and boosting techniques. This is applicable in case as of traffic sign recognition (with a significant use case of modern/“smart-cars”), driver monitoring, parking management and similar applications in other industries where visual recognition and pattern recognition is an important element. Thank you Ye for this very interesting model. Research like this can bring forward our understanding of microbiome and our bodies relations and understanding. Be mindful about the people around you; let’s think and take care of others . Table 1. The table shows the representation for different metrics on the US population. Read the paper for more detail on the method of those results.