Results 51 to 60 of about 2,154,721 (280)
Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval
IET Computer Vision, EarlyView., 2022 In this study, a Semi‐Paired Semi‐Supervised Deep Hashing (SPSDH) is proposed. SPSDH is a novel end‐to‐end deep neural network model with high‐order affinity. A non‐local higher‐order affinity measure that better considers the multimodal neighbourhood structure. And a common representation to associate different modalities is introduced, which combined
Yi Wang +3 more
wiley +1 more source
Improved integral cryptanalysis of SPNbox in digital rights management systems
IET Information Security, Volume 17, Issue 1, Page 147-158, January 2023., 2023 Abstract As an access control technology of digital material, digital rights management systems have a profound effect on the copyright protection of digital content. To address the threat of key exposure, applying white‐box ciphers is effective to provide a security guarantee for digital rights management systems.
Jun Liu +4 more
wiley +1 more source
A novel perceptually adaptive image watermarking scheme by selecting adaptive threshold in dht domain [PDF]
, 2016 This paper proposed a novel image watermarking technique by applying the characteristics of the human visual system, in Hadamard transform domain. Statistical information measures were used to select proper blocks for data embedding.
Moeinaddini, E
core +2 more sources
Construction of Hadamard states by pseudo-differential calculus [PDF]
Communications in Mathematical Physics 325 (2014) 713-755, 2012 We give a new construction based on pseudo-differential calculus of quasi-free Hadamard states for Klein-Gordon equations on a class of space-times whose metric is well-behaved at spatial infinity. In particular we construct all pure Hadamard states and study their covariance under symplectic transformations.
arxiv +1 more source
On the Maximal Monotone Operators in Hadamard Spaces [PDF]
, 2021 In this paper, some topics of monotone operator theory in the setting of Hadamard spaces are investigated. For a fixed element $p$ in a Hadamard space $X$, the notion of $p$-Fenchel conjugate is introduced and a type of the Fenchel-Young inequality is proved.
arxiv +1 more source
Hadamard transform-based hyperspectral imaging using a single-pixel detector.
Optics Express, 2020 In this paper, a single-pixel hyperspectral imager is developed based on the Hadamard transformation. The imager's design, fabrication, signal processing method, and experimental results are discussed.
Qi Yi +5 more
semanticscholar +1 more source
A hybrid spatial–temporal deep learning architecture for lane detection
Computer-Aided Civil and Infrastructure Engineering, Volume 38, Issue 1, Page 67-86, 1 January 2023., 2023 Abstract Accurate and reliable lane detection is vital for the safe performance of lane‐keeping assistance and lane departure warning systems. However, under certain challenging circumstances, it is difficult to get satisfactory performance in accurately detecting the lanes from one single image as mostly done in current literature. Since lane markings
Yongqi Dong +3 more
wiley +1 more source
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
Sensors, 2020 Spectral detection provides rich spectral–temporal information with wide applications. In our previous work, we proposed a dual-path sub-Hadamard-s snapshot Hadamard transform spectrometer (Sub-s HTS).
Hui Xie +4 more
doaj +1 more source
Speech Encryption Algorithm Based on Nonorthogonal Quantum State with Hyperchaotic Keystreams
Advances in Mathematical Physics, 2020 With the advancement in modern computational technologies like cloud computing, there has been tremendous growth in the field of data processing and encryption technologies. In this contest there is an increasing demand for successful storage of the data
F. J. Farsana, K. Gopakumar
doaj +1 more source
Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard Transform [PDF]
, 2015 For every fixed constant $\alpha > 0$, we design an algorithm for computing the $k$-sparse Walsh-Hadamard transform of an $N$-dimensional vector $x \in \mathbb{R}^N$ in time $k^{1+\alpha} (\log N)^{O(1)}$.
Cheraghchi, Mahdi, Indyk, Piotr
core +3 more sources