Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm

• Published in: arXiv.org
• Main Authors: Kaya, Semih, Vural, Elif
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 24.12.2020
• Subjects: Algorithms; Computer Science - Computer Vision and Pattern Recognition; Computer Science - Information Retrieval; Computer Science - Learning; Image classification; Interpolation; Machine learning; Regularity; Representations; Retrieval; Statistics - Machine Learning

While many approaches exist in the literature to learn low-dimensional representations for data collections in multiple modalities, the generalizability of multi-modal nonlinear embeddings to previously unseen data is a rather overlooked subject. In this work, we first present a theoretical analysis...