Report
Isometry pursuit
| العنوان: | Isometry pursuit |
|---|---|
| المؤلفون: | Koelle, Samson, Meila, Marina |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, Computer Science - Machine Learning, Statistics - Methodology |
| الوصف: | Isometry pursuit is a convex algorithm for identifying orthonormal column-submatrices of wide matrices. It consists of a novel normalization method followed by multitask basis pursuit. Applied to Jacobians of putative coordinate functions, it helps identity isometric embeddings from within interpretable dictionaries. We provide theoretical and experimental results justifying this method. For problems involving coordinate selection and diversification, it offers a synergistic alternative to greedy and brute force search. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2411.18502 |
| رقم الانضمام: | edsarx.2411.18502 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |