yuzhounh Goto Github PK

2dpcal1-s

Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.

animation

Generating .gif files.

douban-books-2017

Douban books.

douban-books-2020

Douban books from doulists and tags.

douban-books-crawler-2020

豆瓣读书爬虫

douban-books-results

Douban books grabbed from doulists, series, and tags.

face_databases

Benchmark face databases for face recognition and reconstruction.

face_recognition

The world's simplest facial recognition api for Python and the command line

fmri-classification-example

Pattern classification with fMRI data. Reproduced from Poldrack's repository by Matlab.

fmri-classification-example-full

g2dpca

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.

g2dpca_demo_1

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.

g2dpca_demo_2

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.

grc

Scripts for the paper: Generalized Representation-based Classification by Lp-norm for Face Recognition.

grc_2

Scripts for the paper: Generalized Representation-based Classification by Lp-norm for Face Recognition.

gwc

Scripts for the paper: Generation of individual whole-brain atlases with resting-state fMRI data using simultaneous graph computation and parcellation.

mnist-classification-example

Classify the MNIST data by LIBSVM in Matlab.

mnist-classification-example-2

Classify the MNIST data by linear SVM in Scikit-learn.

mnist-classification-example-3

Classify the MNIST data by LIBSVM in Python.

rsspca

Robust Sparse Smooth Principal Component Analysis for Face Reconstruction and Recognition

rsspca_2

Robust Sparse Smooth Principal Component Analysis for Face Reconstruction and Recognition

slic

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.

slic_2

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.

slic_alpha

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.

slic_atlas

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.

slic_individual

Scripts for the paper: Parcellating whole brain for individuals by simple linear iterative clustering.

slic_individual-light

A light version of SLIC_individual which consumes less memory.

valse-webinar-slides

Download slides from: 活动通知 - VALSE - 视觉与学习青年学者研讨会

valse-webinar-slides-2

Download slides from: http://valser.org/webinar/slide/