Pinned Repositories
BCI_competition_III_IVa_analysis
CSP-based EEG feature extraction and visualization and classification tasks
cs-math
Code repo for CS math
homework_3
Image_Stitching
Complete image stitching process.
Motion_decoding_based_on_spike_signals
Motion decoding based on Kalman filter, and providing a comparison of decoding performance of linear regression, DNN, and LSTM
RandomForestRegressor-AdultMortality-Prediction
使用sklearn.ensemble.RandomForestRegressor和GridSearchCV进行成人死亡率预测
Scene_Recognition_with_Bag_of_Words
Tiny images representation, SIFT, HOG, nearest neighbor classifier, support vector machine (SVM)
Speech-decoding-method-based-on-cortical-EEG
Detailed record of undergraduate graduation project
Spike_signal_analysis
Raster, PSTH, tuning curve and motion-modulation analysis
Two-view_Stereo_Matching_and_Reconstruction
This project aims at 3D scene reconstruction through two-view stereo matching techniques. The input is the image of a pair of left and right eye views, and the output is the visualization result of the depth map reconstructed in 3D.
Jurio0304's Repositories
Jurio0304/RandomForestRegressor-AdultMortality-Prediction
使用sklearn.ensemble.RandomForestRegressor和GridSearchCV进行成人死亡率预测
Jurio0304/BCI_competition_III_IVa_analysis
CSP-based EEG feature extraction and visualization and classification tasks
Jurio0304/Spike_signal_analysis
Raster, PSTH, tuning curve and motion-modulation analysis
Jurio0304/cs-math
Code repo for CS math
Jurio0304/homework_3
Jurio0304/Image_Stitching
Complete image stitching process.
Jurio0304/Motion_decoding_based_on_spike_signals
Motion decoding based on Kalman filter, and providing a comparison of decoding performance of linear regression, DNN, and LSTM
Jurio0304/Scene_Recognition_with_Bag_of_Words
Tiny images representation, SIFT, HOG, nearest neighbor classifier, support vector machine (SVM)
Jurio0304/Speech-decoding-method-based-on-cortical-EEG
Detailed record of undergraduate graduation project
Jurio0304/Two-view_Stereo_Matching_and_Reconstruction
This project aims at 3D scene reconstruction through two-view stereo matching techniques. The input is the image of a pair of left and right eye views, and the output is the visualization result of the depth map reconstructed in 3D.