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This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)
A sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion (PRL2019)
This repository includes all programming assignments solved while taking up Stanford's Unsupervised Feature Learning and Deep Learning (UFLDL) course.
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Structural regularization based discriminative multi-view unsupervised feature selection
Matlab code for the ESWA 2023 paper "Structure Learning with Consensus Label Information for Multi-View Unsupervised Feature Selection"
code for some subspace clustering algorithm
Dimensionality reduction and classification of hyperspectral image based on SuperPCA (IEEE TGRS, 2018)
Survival analysis in MATLAB
Symmetric NMF for graph clustering
Trajectory-pooled Deep-Convolutional Descriptors
The repo for the fast and easy guide to the most popular deep learning framework in the world.
Papers in some Top Conference
Implementation of many transfer learning algorithms in Python with Jupyter notebooks
Resources and codes about transfer learning and domain adaptation--迁移学习
Implementation of Unsupervised Feature Learning and Deep Learning Tutorial
Completed and tested solutions for all exercises in Stanford Unsupervised Feature Learning and Deep Learning Tutorial
This repo contains completed exercises (code in MATLAB) of Prof. Andrew Ng's Unsupervised Feature Learning and Deep Learning (UFLDL) online tutorial: http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial
Solutions to the Unsupervised Feature Learning and Deep Learning tutorial (http://ufldl.stanford.edu/tutorial/)
Code for Unified and Efficient Multi-View Clustering with Tensorized Bipartite Graph
AISTATS 2019: A Unified Weight Learning Paradigm for Multi-view Learning
unsupervised feature selection algorithm UDPFS TKDE2020
This is the code for the method EGCFS in my paper:R. Zhang, Y. Zhang, and X. Li, “Unsupervised Feature Selection via Adaptive Graph Learning and Constraint,” IEEE Transactions on Neural Networks and Learning Systems.
Implementation For Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation (NRASP)
dimensionality reduction algorithm USFN
Canonical Correlation Analysis, Variational CCA
Video detection library
Vehicle Detection by Haar Cascades with OpenCV
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.