15.021J / 11.433J Real Estate Economics, Spring 2004 by Wheaton, William C., 1944-

Subjects: Get full text

Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion by Carrillo de la Plata, J, Estrada-Rodriguez, G, Mikolás, L, Tang, S

“…Our approach involves formulating and solving a regularized variational problem, which requires minimizing a quadratic error functional across a set of hypothesis functions, further augmented by a sparsity-enhancing regularizer. …”

Phase-field modeling of interfacial debonding in multi-phase materials via an adaptive isogeometric-meshfree approach by Li, Weidong, Nguyen-Thanh, Nhon, Zhou, Kun

“…In this modeling, the crack and interface phase fields are introduced for the regularized representations of crack surfaces and interfaces, respectively, and a convenient approach is proposed for implementing the regularized energy related to both crack surfaces and interfaces without requiring the line integration along them. …”
Get full text

Advanced diagnosis of electrical systems by Cao, Huimin

“…Two kind of faults are investigated in this project: sensor measurement error and power cell fault. “l1 regularized least-squares optimization” method is employed for sensor fault identification. …”
Get full text

Spatiotemporal saliency detection via sparse representation by Ren, Zhixiang, Gao, Shenghua, Rajan, Deepu, Chia, Clement Liang-Tien, Huang, Yun

“…Based on the psychological findings that abrupt stimulus could cause a rapid and involuntary deployment of attention, our temporal model combines the reconstruction error, sparsity regularizer, and local trajectory contrast to measure the motion saliency. …”
Get full text
Get full text

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.…”

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. …”

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. …”
Get full text

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. …”
Get full text

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.…”

Differentially private deep learning for time series data by Dwitami, Inggriany

“…Furthermore, the added noise in DP-SGD can also act as regularizer to prevent overfitting. This paper recommends that future work must be done to further generalize the result of this experiments. …”
Get full text

The enhancer RNA ARIEL activates the oncogenic transcriptional program in T-cell acute lymphoblastic leukemia by Tan, Shi Hao, Leong, Wei Zhong, Ngoc, Phuong Cao Thi, Tan, Tze King, Bertulfo, Fatima Carla, Lim, Mei Chee, An, Omer, Li, Zhenhua, Yeoh, Allen Eng Juh, Tenen, Daniel G., Sanda, Takaomi, Fullwood, Melissa Jane

“…The oncogenic transcription factor TAL1 regulates the transcriptional program in T-ALL. ARID5B is one of the critical downstream targets of TAL1, which further activates the oncogenic regulatory circuit in T-ALL cells. …”
Get full text
Get full text

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. …”

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. …”
Get full text
Get full text

Region embedding with intra and inter-view contrastive learning by Zhang, Liang, Long, Cheng, Cong, Gao

“…We design the intra-view contrastive learning module which helps to learn distinguished region embeddings and the inter-view contrastive learning module which serves as a soft co-regularizer to constrain the embedding parameters and transfer knowledge across multi-views. …”
Get full text

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. …”
Get full text

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. …”
Get full text
Get full text

Anti-suit injunctions – beyond comity by Dickinson, A

“…This short article considers a theme emerging from Trevor Hartley’s writing on the topic of anti-suit injunctions – the significance of the existence of an international treaty that regulates the circumstances in which the States concerned may or must assert, and may or must decline, jurisdiction with respect to the subject matter of the dispute. …”