… hashing (MIH) based fingerprint indexing scheme further speeds up the exact search in the
Hamming space by building multiple hash … technique for fingerprint recognition. IEEE Trans …

… function, we mainly describe DPSH (deep supervised Hashing with pairwise labels), DSDH
(… Hashing with deep learning has been extensively used in recent years to extract features of …

… Recent advances in object detection in the age of deep convolutional neural networks[J]. …
An array-assisted deep learning approach to seismic phase-picking [J]. Chin Sci Bull ( in …

… to train a deep convolutional generative adversarial network G1 … fingerprint are increased
by 7.6% and 1974.80 respectively, … Hashing),感知散列 (perception Hashing),梯度散列(gradient …

… Therefore, reliable fingerprint database and feature selection … in RF identification are based
on supervised learning. For … networks • The applications of deep learning in multiuser PLA …

… Key words:cross-domain image retrieval; deep learning; feature space migration; image …
Learning sourceinvariant deep hashing convolutional neural networks for cross-source remote …

… The current study aims to examine a general overview of the application of hash functions in
… hash functions and uses of the digital signature. Functions of the cryptographic hash are an …

… fingerprint recognition includes latent fingerprint recognition, … under supervised, unsupervised
and weakly supervised … fusion methods and deep learning based fusion approaches. …