yuzhounh

Douban-books-results

Douban books grabbed from doulists, series, and tags.

Douban-books-2020

Douban books from doulists and tags.

2DPCAL1-S

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

Douban-books-2017

Douban books.

G2DPCA

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

GWC

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

SLIC_individual

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

Douban-books-crawler-2020

豆瓣读书爬虫

fMRI-classification-example

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

MNIST-classification-example

Classify the MNIST data by LIBSVM in Matlab.

MNIST-classification-example-3

Classify the MNIST data by LIBSVM in Python.

G2DPCA_demo_1

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

SLIC_2

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

SLIC_individual-light

A light version of SLIC_individual which consumes less memory.

VALSE-Webinar-Slides-2

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

Animation

Generating .gif files.

export_graphics_with_matlab

export_graphics_with_python

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

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.

MNIST-classification-example-2

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

PD_regression_82subs

REPA

REPA (Resting-State fMRI Preprocessing and Analysis)

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.

VALSE-Webinar-Slides

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