A sampled texture prior for image super-resolution by Pickup, LC, Roberts, SJ, Zisserman, A

“…Typical approaches try to reconstruct a high-resolution image using the sub-pixel displacements of several low- resolution images, usually regularized by a generic smoothness prior over the high-resolution image space. …”

Supersymmetric Yang-Mills, spherical branes, and precision holography by Bobev, N, Bomans, P, Gautason, FF, Minahan, JA, Nedelin, A

“…We show how this divergence can be regularized both in QFT and in supergravity. We also consider d=7 with a small negative 't Hooft coupling and show that the free energy and Wilson loop vacuum expectation value agree with the results from supergravity after addressing some subtleties.…”

The approximation of the solution of heat conduction problem in circular plate with concentrated initial heat by Akhmedov, Abdulkasim, Mohd Zuki, Salleh, Rakhimov, Abdumalik

“…A solution of the problem represented as the Fourier Bessel series that will be understood in terms of distributions. Regularized solutions for different values of the order of Riesz means at a singular point are analysed. …”
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Self-healing characterizations of polyurea/polyurethane coating & its formulation optimization by Sim, Celine (Shen Silin)

“…In midst of the global rising cost of corrosion, solutions such as application of protective coating and employing regular maintenance work have been put in place. All these efforts made primarily to aim for the lifetime extension of what is being protected. …”
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Supersymmetric Yang-Mills, spherical branes, and precision holography by Bobev, N, Bomans, P, Gautason, FF, Minahan, JA, Nedelin, A

“…We show how this divergence can be regularized both in QFT and in supergravity. We also consider d = 7 with a small negative ’t Hooft coupling and show that the free energy and Wilson loop vacuum expectation value agree with the results from supergravity after addressing some subtleties. …”

Application of COLD-PCR for improved detection of EGFR mutations in clinical samples. by Zhang, Zhi Xuan.

“…Thus, based on current data, there is no comparable advantage when using COLD-PCR over regular PCR for mutation detection in routine clinical applications.…”
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The Architectural Layout of Long-Term Care Units: Relationships between Support for Residents’ Well-Being and for Caregivers’ Burnout and Resilience by Rom, Yifat, Morag, Ido, Palgi, Yuval, Isaacson, Michal

“…Supporting residents’ physical well-being was correlated with increased caregiver resilience in dementia units, and with increased burnout and decreased resilience in regular nursing units. Layouts supporting social well-being showed inconsistent correlations with caregivers’ resilience indexes in dementia units, and with burnout and resilience indexes in regular nursing units. …”
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Correntropy based nonnegative matrix factorization : algorithms and clustering applications by Peng, Siyuan

“…In this thesis, to improve existing correntropy based nonnegative matrix factorization (NMF) algorithms and develop new methods for enlarging the range and enhancing the performance in clustering tasks, three novel correntropy based NMF algorithms are proposed, which are respectively the correntropy based graph regularized concept factorization algorithm, the correntropy based orthogonal nonnegative matrix tri-factorization algorithm, and the correntropy based semi-supervised nonnegative matrix factorization algorithm. …”
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Exploring gunshot residue detection in fingerprints by functionalized particle-coupled matrix-assisted laser desorption/ionization mass spectrometry by Adav, Sunil S., Tan, Crystal Yan Wen, Low, Choon Teck, Loo, Song Wei, Ridhwan Yusoff, Gautam, Archana, Yong, Yuk Lin, Yang, Chiew Yung, Lim, Chin Chin, Ng, Kee Woei

“…Donor shooters' fingerprints, both GSR-containing and regular, were analyzed using these functionalized particles coupled with MALDI-ToFMS. …”
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Distributed momentum based multi-agent optimization with different constraint sets by Zhou, X, Ma, Z, Zou, S, Margellos, K

“…Simulations on an ℓ1-regularized logisticregression problem show that the proposed algorithm can achieve faster convergence than existing related distributed algorithms, while a case study involving a building energy management problem further demonstrates its efficacy.…”

Solubility studies of a viral proteins by Singh, Parvinder.

“…An X protein (HBx) is produced during the virus replication and in order to study its role in the progression of the virus, a regular continuous supply of pure bioactive HBx proteins is required. …”
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Backbone boogie : dance the osteoporosis away! by Gey, Elainn Yee Rong, Lim, Cheryl Yi Xuan, Tan, Cammie Yi Jia

“…The campaign focuses on raising awareness of this health issue and encouraging the adoption of dance as a regular form of exercise among working women in Singapore aged 30 to 50. …”
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Simplified test of universality in lattice QCD by Adams, David H.

“…A simplified test of universality in lattice QCD is performed by analytically evaluating the continuous Euclidean time limits of various lattice fermion determinants, both with and without a Wilson term to lift the fermion doubling on the Euclidean time axis, and comparing them with each other and with the zeta-regularized fermion determinant in the continuous time–lattice space setting. …”
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Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims by Meng, Kevin, Jimenez, Damian, Devasier, Jacob, Naraparaju, Sai Sandeep, Arslan, Fatma, Obembe, Daniel, Li, Chengkai

“…We introduce the first adversarially-regularized, transformer-based claim-spotting model, which achieves state-of-the-art results on several bench-mark datasets. …”
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Super-resolution enhancement of text image sequences by Capel, D, Zisserman, A

“…We then propose two estimators suitable for the enhancement of text images: a maximum a posteriori (MAP) estimator based on a Huber prior and an estimator regularized using the total variation norm. We demonstrate the improved noise robustness of these approaches over the Irani and Peleg estimator. …”

Learning to count objects in images by Lempitsky, V, Zisserman, A

“…Learning to infer such density can be formulated as a minimization of a regularized risk quadratic cost function. We introduce a new loss function, which is well-suited for such learning, and at the same time can be computed efficiently via a maximum subarray algorithm. …”

Optimal Slicing and Scheduling with Service Guarantees in Multi-Hop Wireless Networks by Jones, Nicholas, Modiano, Eytan

“…Motivated by this, we design a polynomial-time algorithm that returns an (almost) regular schedule, optimized to meet service guarantees for all flows.…”
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ELM embedded discriminative dictionary learning for image classification by Zeng, Yijie, Li, Yue, Chen, Jichao, Jia, Xiaofan, Huang, Guang-Bin

“…We show that such regularization is robust, discriminative and easy to optimize. …”
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Exploiting irregular parallelism to accelerate FPGA routing by Zhu, Alan Y.

“…We show that despite the lack of regular parallelism, routing still exhibits significant irregular parallelism. …”
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A multiplicative Nakagami speckle reduction algorithm for ultrasound images by Yu, Chengpu, Zheng, Cishen, Xie, Lihua

“…A 2D total variation regularized Nakagami speckle reduction algorithm is derived based on the maximum a posteriori estimation framework, which performs well in restoring piecewise-smooth reflectivity and preserving fine details of the image. …”
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