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ailearners

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

cs131_release

Released assignments for the Stanford's CS131 course on Computer Vision.

gabor_cnn_pytorch

WACV2018/TIP: Gabor Convolutional Networks

gabornet

leetcode

LeetCode刷题记录

macro-to-micro-transformation-model-for-micro-expression-recognition

As one of the most important forms of psychological behaviors, micro-expression can reveal the real emotion. However, the existing labeled training samples are limited to train a high performance model. To overcome this limit, in this paper we propose a macro-to-micro transformation model which enables to transfer macro-expression learning to micro-expression. Doing so improves the efficiency of the microexpression features. For this purpose, LBP and LBP-TOP are used to extract macro-expression features and micro-expression features, respectively. Furthermore, feature selection is employed to reduce redundant features. Finally, singular value decomposition is employed to achieve macro-to-micro transformation model. The experimental evaluation based on the incorporated database including CK+ and CASME2 demonstrates that the proposed model achieves a competitive performance compared with the existing micro-expression recognition methods.

me_recognition

megc2019

Code for MEGC2019 Micro Expression Recognition

mer-benchmark

micro-expression-with-deep-learning

Experimentation of deep learning on the subjects of micro-expression spotting and recognition.

micro-exprssion

Microexpression recognition

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

vue_meituan