Towards writer retrieval for historical datasets

M Peer, F Kleber, R Sablatnig - International Conference on Document …, 2023 - Springer
This paper presents an unsupervised approach for writer retrieval based on clustering SIFT
descriptors detected at keypoint locations resulting in pseudo-cluster labels. With those …

A classification retrieval method for encrypted speech based on deep neural network and deep hashing

Q Zhang, X Zhao, Y Hu - IEEE Access, 2020 - ieeexplore.ieee.org
In order to improve the retrieval efficiency and accuracy of the existing encrypted speech
retrieval methods, and improve the semantic representation of speech features and …

A review of image authentication techniques based on deep hashing

T Lu, L Feng, Q Dong - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Image hashing is a key technology for many multimedia security applications. The image
content is recognized through a short perceptual digest. In this paper, the latest literatures of …

[PDF][PDF] INTERPRETASI OTOMATIS DAN PENINGKATAN KINERJA PADA CITRA MEDIS ULTRASONOGRAFI DENGAN MENGGUNAKAN METODE DEEP LEARNING

ADEI SAPITRI - repository.unsri.ac.id
Ade Iriani Sapitri dilahirkan di Palembang pada tanggal 13 Maret 1994. Anak ke dua dari
dua bersaudara dari pasangan Ilham dan Jumaidah. Pendidikan SD sampai SMA ditempuh …

[PDF][PDF] A Hybrid Approach Based on Non Linear Approximation and Holistic Descriptor for Efficient Image Retrieval

S Salunkhe, S Gaikwad, S Gengaje - International Journal of …, 2020 - researchgate.net
Abstract Content Based Image retrieval is an efficient tool for accurate image retrieval from
web for wide range of application including Object Recognition, Criminal Recognition …