Abstract: Cyclic redundancy check (CRC) codes check if a codeword is correctly received. This paper presents an algorithm to design CRC codes that are optimized for ...

It means if you see the below code in every convolution step our model will be able to see 2 pixel more in each side of image . Input image => kernel shape => Output Image -> local Receptive field -> ...

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network (incomplete ... The script can then be used to generate an object_tree.png file and a ...

To fully unleash the power of deep learning for detecting code clones, we propose a new approach that uses tree-based convolution to detect semantic clones, by capturing both the structural ...

From the resulting codes, one can construct both block quantum error-correcting codes and quantum convolutional codes. We show that from the examples of convolutional codes found, we can derive ...

We address the problems of constructing quantum convolutional codes (QCCs) and of encoding them. The first construction is a CSS-type construction which allows us to find QCCs of rate 2/4. The second ...

Image/video processing for fruit detection in the tree using hard ... details the use of deep convolution neural networks architecture based on single-stage detectors. Using deep-learning techniques ...