Few-Shot Classification Using Tensor Completion

Explore the intersection of machine learning and tensor-based modeling in this 27-minute video from Chemometrics & Machine Learning in Copenhagen. Discover how combining classification and tensor decomposition methods can reformulate classification problems as tensor completion tasks. Learn about the advantages of this tensor-based learning approach, particularly in scenarios with limited training samples, and understand how it can outperform state-of-the-art methods. Gain insights into the application of this innovative technique for tackling real-world classification challenges across various domains.

Few-shot classification using tensor completion