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In computability theory, super-recursive algorithms are a generalization of ordinary algorithms that are more powerful, that is, compute more than Turing.
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Super-Recursive Algorithms (Monographs in Computer Science): Medicine & Health Science Books @ [HOST]
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Runtime Analysis. The inference time is an important factor of SR algorithms other than the SR performance. The relation between the SR performance and the.
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Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment. Authors:Muhammad Ali Farooq, Ammar Ali Khan, Ansar.
solving the 3D single image super-resolution (SR) problem, i.e., cost of state-of-the-art algorithms to be considerably decreased.
The first exposition on super-recursive algorithms, systematizing all main classes and providing an accessible, focused examination of the theory and its.
A SUPER* Algorithm to Optimize Paper Bidding in Peer ReviewTanner Fiez, Nihar Shah, Lillian RatliffA number of applications involve sequential arr.
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In this paper we introduce a single image super resolution algorithm based on wavelet transforms. To compensate the information loss due to the down.
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PDF | Generalization of the Super-Twisting algorithm (STA) for r relative degree system with respect to output, ensuring finite time convergence to the.
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This paper proposes a high-efficiency super-resolution frequency-modulated continuous-wave (FMCW) radar algorithm based on estimation by fast Fourier.
By mitigating the weaknesses of existing methods, the present paper proposes an image super-resolution algorithm based on dual-channel convolutional neural.
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In this study, we proposed a high-precision autofocusing algorithm for multi-height pixel-super-resolved lensfree on-chip microscopy.
The direct flux and torque control is a traditional control algorithm and robust technique. Fractional-order super twisting algorithms are a new and.
Abstract This article proposes a finite-time disturbance observer-based modified super-twisting algorithm (FDO-STA) for disturbed high-order.
Optimal Energy Allocation Algorithm of Li-Battery/Super capacitor Hybrid Energy Storage System Based on Dynamic Programming Algorithm.
The algorithm is an extension of our previously developed method for multi-sensor super-resolution without scene distortions [7].
Young-Jae Choi and In-Sik Choi, "DROP Algorithm for Super Resolution Scattering Center Extraction," Progress In Electromagnetics Research, Vol. ,
The Super algorithm currently supports two rulename suffixes, "History" and "Super". History mode. A rule specific to Conway's Life, "LifeHistory", was added.
An electron beam dose calculation algorithm has been developed which is based on a superposition of pregenerated Monte Carlo electron track kernels.
proposes a maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images. Principal component analysis (PCA) is utilized.
algorithm to solve the BLASSO sparse spikes super-resolution problem. Our algorithm is a variation on the classical Frank-Wolfe (also known as.
SUPER-SAPSO: A New SA-Based PSO. Algorithm. Majid Bahrepour1, Elham Mahdipour2, Raman Cheloi3, and Mahdi. Yaghoobi4. Abstract Particle Swarm Optimisation.
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We construct the analog of the plactic monoid for the super semistandard Young tableaux over a signed alphabet. This is done by developing a generalization.
Toeplitz concatenated matrix aided ICA algorithm for super-Nyquist multiband CAP VLC systems. Zhe Wang, Guoqiang Li, Fangchen Hu.
The original algorithm used to calculate the correlation integral is The calculation speed of the super-high-efficiency algorithm is suitable for.
This paper mainly focuses on the research of super-resolution restoration algorithm of infrared dim-small target based on infrared micro-.
Being more powerful than ordinary (or recursive) algorithms, such new models of computability are called super-recursive algorithms. Limit Turing machines.
Since the interpolation-based image super-resolution algorithms can be executed very fast, it is the research focus of this paper.
In order to solve the ill-posed problem in super-resolution image and apply reweighted L2 Norm for the adaptive algorithm in this paper.
Super-resolution (SR) reconstruction technique is capable of The proposed algorithm has been tested in several cases of motion and.
Improved Sparse Representation Super-Resolution algorithm for Remote Sensing Image. Fuzhen Zhu1a, Xin Huang1, Yue Liu1 and Haitao Zhu2.
Fast Optimized Cluster Algorithm for Localizations (FOCAL): a spatial cluster analysis for super-resolved microscopy. A. Mazouchi.
Like algorithms, procedures (in a general sense) are also different from their A representation or description of a procedure or algorithm is a symbolic.
State exact reconstruction for switched linear systems via a super-twisting algorithm This article discusses the problem of state reconstruction synthesis for.
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