Đang chuẩn bị liên kết để tải về tài liệu:
Locality oriented feature extraction for small training datasets using non-negative matrix factorization

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG Tải xuống

This paper proposes a simple and effective method to construct descriptive features for partially occluded face image recognition. This method is aimed for any small dataset which contains only one or two training images per subject, namely Locality oriented feature extraction for small training datasets (LOFESS). | Locality oriented feature extraction for small training datasets using non-negative matrix factorization