Fast adaptive PARAFAC decomposition algorithm with linear complexity
We present a fast adaptive PARAFAC decomposition algorithm with low computational complexity. The proposed algorithm generalizes the Orthonormal Projection Approximation Subspace Tracking (OPAST) approach for tracking a class of third-order tensors which have one dimension growing with time. It has...
Lưu vào:
| Tác giả chính: | , , |
|---|---|
| Định dạng: | Bài trích |
| Ngôn ngữ: | English |
| Thông tin xuất bản: |
ĐHCN
2016
|
| Chủ đề: | |
| Truy cập trực tuyến: | http://repository.vnu.edu.vn/handle/VNU_123/13033 |
| Từ khóa: |
Thêm từ khóa bạn đọc
Không có từ khóa, Hãy là người đầu tiên gắn từ khóa cho biểu ghi này!
|
| Tóm tắt: | We present a fast adaptive PARAFAC decomposition algorithm with low computational complexity. The proposed algorithm generalizes the Orthonormal Projection Approximation Subspace Tracking (OPAST) approach for tracking a class of third-order tensors which have one dimension growing with time. It has linear complexity, good convergence rate and good estimation accuracy. To deal with large-scale problems, a parallel implementation can be applied to reduce both computational complexity and storage. We illustrate the effectiveness of our algorithm in comparison with the state-of-the-art algorithms through simulation experiments. |
|---|