qintian0321 / SimpleMKL_pythonLinks
Python implementation of SimpleMKL algorithm for multi-kernel SVM learning
☆11Updated 8 years ago
Alternatives and similar repositories for SimpleMKL_python
Users that are interested in SimpleMKL_python are comparing it to the libraries listed below
Sorting:
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆30Updated 10 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 11 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆12Updated 6 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆173Updated 9 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- Transfer Learning☆10Updated 7 years ago
- Co-Training for Image Classification☆11Updated 7 years ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Updated 7 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 6 years ago
- It contains some of the novel feature selection algorithms I've developed☆13Updated 4 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆22Updated 7 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 8 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆33Updated 5 years ago
- The python implementation of tri-triaing☆51Updated 6 years ago
- BLS Code☆135Updated 7 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 8 years ago
- ☆26Updated 9 years ago
- Transfer Learning Toolkit for Primary Researchers☆106Updated 4 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆60Updated 8 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆48Updated 6 years ago
- Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)☆18Updated 6 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 7 years ago
- nirmalsenthilnathan / Open-Set-Domain-Adaptation-for-Hyperspectral-Image-Classification-Using-Generative-Adversarial-NetwoThe Noval approach for dealing with hyperspectral images with the help of openset domain adaptatin and generative adversarial network.☆38Updated 5 years ago
- ☆16Updated 13 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调☆44Updated 9 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 6 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Autoencoders in PyTorch☆102Updated 6 years ago