IEEE

Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning

Abstract: Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for ...
note

Introduction to Multi-Agent Development with Python: From Task Decomposition and Parallel Processing to Error Handling using the Claude API

From the phase of "making AI do the work" to the phase of "multiple AIs collaborating to complete tasks"—the concept of multi-agents has rapidly become a reality for engineers. However, you often hit ...
GitHub

plot_compare_cross_decomposition.py

X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.5, shuffle=False) plt.scatter(X_train_r[:, 0], Y_train_r[:, 0], label="train", marker="o", s=25 ...
GitHub

MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

@ARTICLE{10251420, author={Jouni, Mohamad and Mura, Mauro Dalla and Drumetz, Lucas and Comon, Pierre}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={MultiHU-TD: Multifeature ...
IEEE

Wasserstein Non-Negative Matrix Factorization for Multi-Layered Graphs and its Application to Mobility Data

Abstract: Multi-layered graphs are popular in mobility studies because transportation data include multiple modalities, such as railways, buses, and taxis. Another example of a multi-layered graph is ...