Infrared Small Target Detection Based on Compound Eye Structural Feature Weighting and Regularized Tensor by Linhan Li, Xiaoyu Wang, Shijing Hao, Yang Yu, Sili Gao, Juan Yue

“…Current single-aperture small target detection algorithms fail to exploit the spatial relationships among compound eye apertures, thereby underutilizing the inherent advantages of compound eye imaging systems. This paper proposes a low-rank and sparse decomposition method based on bio-inspired infrared compound eye image features for small target detection. …”
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Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD by Yuxuan Duan, Chen Ling, Jinjie Liu, Xinmin Yang

“…In this study, we propose a low-rank recovery model for incomplete Internet traffic data with a fourth-order tensor structure, incorporating spatio-temporal regularization while avoiding the use of d-th order T-SVD. …”
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A model of feature extraction for well logging data based on graph regularized non-negative matrix factorization with optimal estimation by Kehong Yuan, Youlin Shang, Haixiang Guo, Yongsheng Dong, Zhonghua Liu

“…It is crucial to obtain key low-dimensional features and study an accurate automatic recognition algorithm under unsupervised condition. …”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

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Low-dose decitabine enhances the efficacy of viral cancer vaccines for immunotherapy by Salvatore Russo, Sara Feola, Michaela Feodoroff, Jacopo Chiaro, Gabriella Antignani, Manlio Fusciello, Federica D’Alessio, Firas Hamdan, Teijo Pellinen, Riikka Mölsä, Lorella Tripodi, Lucio Pastore, Mikaela Grönholm, Vincenzo Cerullo

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Integrating local malaria molecular monitoring into regular malaria indicator surveys on Bioko Island: high association between urban communities and low-density infections by Thomas C. Stabler, Salome Hosch, Elizabeth Nyakarungu, Johanna Nouria Giger, Monserrat Kobe Elonga, Rosalia Nzang Bibang, Victoria Mangue Ndong, Ilda Elobe Mometolo, Alejandro Lopelo Bolopa, Rosa Maria Oko Bedoung, Jose Raso Bijeri, Esperanza Willy Roka, Ana Gertrudis Nguema, Victoria Palacios Ichinda, Salvador Bakale, Cristina Nka Esokolete, Matilde Riloha Rivas, David S. Galick, Wonder Philip Phiri, Carlos A. Guerra, Guillermo A. García, Luca Montemartini, Tobias Schindler, Joana C. Silva, Claudia Daubenberger

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Optimization of the Regularization in Background and Foreground Modeling by Si-Qi Wang, Xiang-Chu Feng

“…Background and foreground modeling is a typical method in the application of computer vision. The current general “low-rank + sparse” model decomposes the frames from the video sequences into low-rank background and sparse foreground. …”
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Temporal Disaggregation of Time Series with Regularization Term by Sebastian Wójcik

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The Validity of Dimensional Regularization Method on Fractal Spacetime by Yong Tao

“…Svozil developed a regularization method for quantum field theory on fractal spacetime (1987). …”
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Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…Feature extraction has been extensively studied in the machine learning field as it plays a critical role in the success of various practical applications. To uncover compact low-dimensional feature representations with strong generalization and discrimination capabilities for recognition tasks, in this paper, we present a novel discriminative graph regularized representation learning (DGRL) model that is able to elegantly incorporate both global and local geometric structures as well as the label structure of data into a joint framework. …”
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Joint Nuclear Norm and ℓ_1–2-Regularization Sparse Channel Estimation for mmWave Massive MIMO Systems by Kaiwen Yu, Min Shen, Rui Wang, Yun He

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Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis With Fast Demixing Matrix Estimation by Yuto Ishikawa, Tomohiko Nakamura, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

Subjects: “…Independent low-rank matrix analysis…”
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Assessment of cardiac troponins status in patients on regular hemodialysis by Raman Ameer Muhammed, Hussein Yousif Sinjari

“…Both cardiac troponins were positively associated with prior history of coronary artery disease, and low serum albumin. Cardiac troponin T was positively correlated with dialysis vintage.…”
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Technology of regular urban passenger transportation operation improvement by S. A. Azemsha

“…This article shows the need to develop measures to improve the efficiency of passenger vehicle capacity utilisation for the purposes of increasing the efficiency of urban regular passenger transport.Originality. This paper shows the change in the degree of use of passenger vehicle capacity, shows the factors affecting it, and proposes a new technology for organising the work of urban regular passenger transport. …”
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Prevalence of Dental Erosion among the Young Regular Swimmers in Kaunas, Lithuania by Andrius Zebrauskas, Ruta Birskute, Vita Maciulskiene

Subjects: “…Conclusions: Prevalence of dental erosion of very low degree was high among the regular swimmers in Kaunas…”
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New source number estimation algorithm based on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mi mathvariant="script">l</mi> <mn>1</mn> </msub></math>... by Fang-xiao JIN, Tian-shuang QIU, Peng WANG, Nan XIA, Jing-chun LI

“…In view of the problems of inefficient in low SNR and less snapshots when using existing sources number estimation related algorithms,a new algorithm based on e₁sparse regularization under space stationary noise was proposed to estimate the number of signal sources.The algorithm estimated the sources number by using the sparse representation of eigenvalues vectors with the suitable regularization parameter.Theoretical analysis and simulation results show that the algorithm can realize an accurate sources number estimation in low SNR and less snapshots.…”
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Spectral Adaptive Dropout: Frequency-Based Regularization for Improved Generalization by Zhigao Huang, Musheng Chen, Shiyan Zheng

“…Deep neural networks are often susceptible to overfitting, necessitating effective regularization techniques. This paper introduces Spectral Adaptive Dropout, a novel frequency-based regularization technique that dynamically adjusts dropout rates based on the spectral characteristics of network gradients. …”
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Annealing dynamics of regular rotor networks: Universality and its breakdown by András Grabarits, Gaetano Sammartino, Adolfo del Campo

“…Regular graphs with low connectance or edge density exhibit universal scaling dynamics consistent with the Kibble-Zurek mechanism, which leads to a power-law dependence of the density of defects and the residual energy as a function of the annealing time. …”
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Regular Vehicle Spatial Distribution Estimation Based on Machine Learning by Lin Liu, Bingbing Wang, Yongfu Li, Nenglong Hu

“…This paper proposes a regular vehicle spatial distribution estimation method using adjacent connected vehicles as mobile sensors. …”
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Electronic and regular cigarettes induce transcriptional and physiological changes in cardiomyocytes by Hesham Basma, Kajari Dhar, Jason Payne, Stephen Rennard, Brian D. Lowes

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