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Posts
moco 论文摘要
Published:
MoCo: Momentum Contrast for Unsupervised Visual Representation Learning
c++ stl 基础
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c++标准库
c++包含许多正式标准，分别为 c++98, c++03, c++11(c++0x), c++14(c++1y), c++17(c++1z), c++20(c++2a), 还有正在定制中的 c++23(c++2b).
c++ alg 基础
Published:
stl 中的算法库
stl 中的算法主要包含在 <algorithm> 中，还有一些存在在 <numberic> 和 <functional> 中 列举一些常用的函数 ```c++ // 顺序查找 find(v.begin(),v.end(),val);
小于1000的正整数立方和pair
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找出所有满足 $a^3+b^3=c^3+d^3$的小于1000的正整数组合
空间域图像增强
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前言
《数字图像处理》这本书可谓传统CV入门的经典，奈何深度学习大行其道的今天，许多经典的传统方法往往被初学者忽略，其实深度学习的方法很多可以从传统方法获取先验，从而可能取得更好的效果，温故而知新，可以为师矣，这里记录一下阅读《数字图像处理》第三章的阅读摘要。
什么是deep learning
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前言
现在是2021年5月，工作了一年，回忆一下吧，记录一下此刻自己对深度学习的一些认识，希望以后回首，能看到年轻的自己naive的想法。
portfolio
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publications
Wavelet and principal component analysis of electromyographic activity and slow component of oxygen uptake during heavy and severe cycling exercise
Published in Applied Physiology, Nutrition, and Metabolism, 2019
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The influence of muscle fiber type on slow component of oxygen uptake kinetics
Published in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020
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Automatic sleep scoring: A deep learning architecture for multi-modality time series
Published in Journal of Neuroscience Methods, 2021
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A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
Published in 28th European Signal Processing Conference (EUSIPCO), 2021
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LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms
Published in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
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SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG
Published in Biomedical Signal Processing and Control (BSPC) , 2022
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Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification
Published in IEEE Transactions on Instrumentation and Measurement (TIM) , 2022
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Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance
Published in 2022 International Joint Conference on Neural Networks (IJCNN), 2022
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
teaching
ransac with numba on gpu
cuda, , 2022