New optimized type-specific processing with Strategy + Visitor pattern: ...

1 College of Information Engineering, Henan University of Science and Technology, Luoyang, China 2 The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...

Abstract: In medical imaging, image compression is used to ease bandwidth and storage requirements. In this paper, we report a Roi based image compression approach for retinal images based on ...

Abstract: Aiming at the problem of SAR image target recognition, A novel network structure combining convolution auto-encoding network and convolutional neural network is proposed in this paper. First ...

At /home/km/.atom/packages/auto-encoding/lib/auto-encoding.coffee:78 TypeError: Cannot read property 'getEncoding' of undefined at /home/km/.atom/packages/auto ...