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Given a list of ontologies and a list of alignments between them, we want to extract from each ontology `O` a module `M` of the signature generated by all symbols of `O` that appear in the corresponde…
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1) 'Densely Connected Convolutional Networks' - G Huang, GB Huang, S Song, K You
obtained state-of-the-art results in image classification on CIFAR-10, CIFAR-100, SVHN, ImageNet
This paper also won…
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> We can do segmentation using an existing Convolutional Neural Network by applying it in a Fully Convolutional manner.
> -- [Daniil's blog](http://warmspringwinds.github.io/tensorflow/tf-slim/2016/1…
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# Image Classification | yanzzzz blog
website:CS231n: Convolutional Neural Networks for Visual Recognition 影像分類是電腦視覺的核心任務,但其中有許多障礙要克服 遇到的問題Semantic Gap 語義鴻溝 Semantic Gap指的是在不同系統中形成的結構造成差異 人眼傳送到大腦所看到的…
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*This is a stub to be expanded*
## Introduction
There is increasing use of AI for a wide range of applications based upon deep learning with multi-layer neural networks for classification and co…
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INSIGHTS:
How does semantic distance affect the shortest paths found by A*, when compared to other heuristics for the shortest paths? -> (maybe try with looking first for category related / nº of li…
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Hi, thank you for sharing this brilliant automl tool!I wish I could implement your code, but in most industry scene tasks are complicated and will not be able to be solved by classification.
When …
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May I ask what method you used to do the vehicle removal work on the original map?
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I am sure this is not the place to ask about how is your model on estimating semantic network, but I think it is better than an email. I believe it is still a work in progress. I am quite interested i…
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I've spent a lot of time thinking about general layout decisions for the hub. I've implemented a first iteration, which hopefully is a good baseline for the next Substance release.
## Landing page
![…