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COMIC: Multi-view Clustering Without Parameter Selection, International Conference on Machine Learning (ICML’19)
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-view Clustering
Code for 'Adaptive Graph Completion Based Incomplete Multi-view Clustering'
A wizard's guide to Adversarial Autoencoders
code of AE^2-Nets (Autoencoder in Autoencoder Networks)
[CVPR2020] Adversarial Latent Autoencoders
A reading list of top Conferences & Journals, focused on facial expression recognition (FER), facial action unit recognition and affective computing.
Awesome GAN for Medical Imaging
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Image Classification Based on Bag of Features with SIFT and SURF Descriptors
Binary Multi-View Clustering
The Calorie Estimation Project can be mainly divided into two parts, identifying food from image, and estimating calorie from certain food image. For the identification of food image, we performed multi-class SVM algorithms, with different features explored and compared, including HOG (Histogram of Gradients), LBP (Linear Binary Pattern) and CNN. The result shows that the local feature LBP performs the best overall. The food calorie data from Internet is collected to conclude a table for easy conversion from food category to calorie.
Code for ETLMSC
Implementation of CNN to recognize objects (COIL100) running on CNN architecture built for MNIST Hand Written Digit Recognition for 10 epochs
This repo implements VGG's Comparator Network [1].
[AAAI 2018] Consistent and Specific Multi-view Subspace Clustering
Computes the correntropy spectral density of a signal using non-negative matrix factorization
The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]
Incorporating hand crafted features in wide resnets
Source code of paper "Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures"
This is the HoG feature extraction codes by pure numpy
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
This is outdated -- New version: https://github.com/boyangumn/DCN-New
A TensorFlow implementation on Deep Clustering Network(DCN), ICML 2017
Keras Implementation of "Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering"
paper list
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.