Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval
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
Hybrid Multidelay PCASL Acquired With Time-Encoded and Variable-TR Schemes for the Assessment of Cerebral Perfusion in Moyamoya Disease. [PDF]
Schematic drawings of the hybrid PCASL, consisting of four time‐encoded schemes with different timing settings, are shown. The entire LD/PLD is rearranged to show bolus dynamics. Actual multidelay images obtained with the hybrid scheme in a patient with moyamoya disease, along with his CBF and ATT maps, are shown.
Togao O+14 more
europepmc +2 more sources
Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard Transform [PDF]
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
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
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
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
Fast Hadamard transforms for compressive sensing of joint systems: measurement of a 3.2 million-dimensional bi-photon probability distribution [PDF]
We demonstrate how to efficiently implement extremely high-dimensional compressive imaging of a bi-photon probability distribution. Our method uses fast-Hadamard-transform Kronecker-based compressive sensing to acquire the joint space distribution.
Howell, John C.+2 more
core +3 more sources
An algorithm for discrete fractional Hadamard transform
We present a novel algorithm for calculating the discrete fractional Hadamard transform for data vectors whose size N is a power of two. A direct method for calculation of the discrete fractional Hadamard transform requires $N^2$ multiplications, while ...
Cariow, Aleksandr+1 more
core +1 more source
Complexity adaptation in H.264/AVC video coder for static cameras [PDF]
H.264/AVC uses variable block size motion estimation (VBSME) to improve coding gain. However, its complexity is significant and fixed regardless of the required quality or of the scene characteristics. In this paper, we propose an adaptive complexity
Kim, Chanyul, O'Connor, Noel E.
core +1 more source
This paper is concerned to present and apply a new generalized fractional derivative, that is the Generalized Hilfer-type (GH) fractional derivative.
Tahir Ullah Khan+2 more
doaj
Hadamard transform imaging [PDF]
We have constructed a Hadamard transform Raman microscopic imaging system, and have developed it to a high definition (64K pixel) technique. We have demonstrated multispectral Raman imaging and developed the first three-dimensional (digital confocal) Raman imaging. We have explored the systematic errors in Hadamard multiplexing techniques and developed
openaire +3 more sources