nightlyjourney / CNN-and-Tensor-Factorization-for-MVMT
This is about the Model I have designed which combines the power of Tensor Factorization and Convolutional Neural Network (CNN) for Multi-View Multi-Task Learning. The model has been trained on FOX dataset and illustrated superb performance. This work is done when I am working as an intern at Chinese Academy of Science, Institution of Automation…
☆7Updated 7 years ago
Alternatives and similar repositories for CNN-and-Tensor-Factorization-for-MVMT:
Users that are interested in CNN-and-Tensor-Factorization-for-MVMT are comparing it to the libraries listed below
- Multilinear Factorization Machines for multi-task multi-view learning☆18Updated 7 years ago
- NECO 18: Adaptive structure concept factorization for multiview clustering☆9Updated 6 years ago
- Co-regularized Non-negative Matrix Factorization☆19Updated 7 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 10 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 7 years ago
- %% Multi-View Clustering and Feature Learning via Structured Sparsity☆15Updated 8 years ago
- The Matlab code of the SSWL method proposed in our AAAI18 paper "Learning from Semi-Supervised Weak-Label Data"☆15Updated 6 years ago
- ☆12Updated 8 years ago
- scalable active learning by approximated error reduction☆11Updated 4 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- Multi-view Spectral Clustering on Conflicting Views☆15Updated 7 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- ☆12Updated 5 years ago
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization☆13Updated 6 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆17Updated 6 years ago
- Partial Multi View Clustering via NMF☆33Updated 6 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 6 years ago
- Co-Training for Image Classification☆11Updated 5 years ago
- A matlab implementation of one of the top social networks link prediction algorithm to date☆8Updated 8 years ago
- Recursive importance sampling for Nyström kernel matrix approximation☆14Updated 7 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 6 years ago
- Contractive Auto-Encoders in Numpy☆14Updated 12 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Updated 3 years ago
- Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization.☆22Updated 9 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 6 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 6 years ago
- The code of SMVSC☆17Updated 5 years ago
- The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.☆12Updated 6 years ago