Suchergebnisse - "majorization-minimization algorithm"

Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization von Qiao, Jinghui, Qiao, Jiayu, Gao, Peng, Bai, Zhe, Xiong, Ningkang

“… A fuzzy series–parallel stochastic configuration networks (F-SPSCN) is proposed based on the application of nonconvex optimization in fuzzy systems. Firstly, …”
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A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems von Tang, Peipei, Wang, Chengjing, Jiang, Bo

“… In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm for nonconvex rank regression problems. The basic idea of the …”
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A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF von Sawada, Hiroshi, Ono, Nobutaka, Kameoka, Hirokazu, Kitamura, Daichi, Saruwatari, Hiroshi

“… This paper describes several important methods for the blind source separation of audio signals in an integrated manner. Two historically developed routes are …”
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A nonconvex sparse recovery method for DOA estimation based on the trimmed lasso von Bai, Longxin, Zhang, Jingchao, Qiao, Liyan

“… Sparse direction-of-arrival (DOA) estimation methods can be formulated as a group-sparse optimization problem. Meanwhile, sparse recovery methods based on …”
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Quasi-Orthogonal Z-Complementary Pairs and Their Applications in Fully Polarimetric Radar Systems von Wang, Jiahuan, Fan, Pingzhi, Zhou, Zhengchun, Yang, Yang

“… One objective of this paper is to propose a novel class of sequence pairs, called "quasi-orthogonal Z-complementary pairs (QOZCPs)", each depicting …”
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Large-scale robust regression with truncated loss via majorization-minimization algorithm von Huang, Ling-Wei, Shao, Yuan-Hai, Lv, Xiao-Jing, Li, Chun-Na

“… The utilization of regression methods employing truncated loss functions is widely praised for its robustness in handling outliers and representing the …”
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L1 model-driven recursive multi-scale denoising network for image super-resolution von Sun, Zhongfan, Zhao, Jianwei, Zhou, Zhenghua, Gao, Qingqing

“… Most existing deep learning based single-image super-resolution (SISR) methods mainly improve the reconstruction performances from the perspective of …”
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Fast Domain Decomposition for Global Image Smoothing von Kim, Youngjung, Min, Dongbo, Ham, Bumsub, Sohn, Kwanghoon

“… Edge-preserving smoothing (EPS) can be formulated as minimizing an objective function that consists of data and regularization terms. At the price of …”
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gCoda: Conditional Dependence Network Inference for Compositional Data von Fang, Huaying, Huang, Chengcheng, Zhao, Hongyu, Deng, Minghua

“… The increasing quality and the reducing cost of high-throughput sequencing technologies for 16S rRNA gene profiling enable researchers to directly analyze …”
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Parameter Estimation from Aggregated Max-Min-Mean Measurements in Sensor Networks von Yu, Jingming, Shao, Mingjie, Li, Xin, Wang, Shuai, Zhao, Yanlong

“… Sensor networks often require accurate parameter estimation, but transmitting raw data is frequently infeasible due to bandwidth-limited communication …”
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A dimension reduction assisted credit scoring method for big data with categorical features von Miljkovic, Tatjana, Wang, Pei

“… In the past decade, financial institutions have invested significant efforts in the development of accurate analytical credit scoring models. The evidence …”
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An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal von Wang, Chengjing, Zhao, Xile, Wang, Qingsong, Ma, Zepei, Tang, Peipei

“… The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping …”
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Adaptively robust geographically weighted regression von Sugasawa, Shonosuke, Murakami, Daisuke

“… We develop a new robust geographically weighted regression method in the presence of outliers. We embed the standard geographically weighted regression in …”
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High-Dimensional Fused Lasso Regression Using Majorization-Minimization and Parallel Processing von Yu, Donghyeon, Won, Joong-Ho, Lee, Taehoon, Lim, Johan, Yoon, Sungroh

“… In this article, we propose a majorization-minimization (MM) algorithm for high-dimensional fused lasso regression (FLR) suitable for parallelization using …”
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Wideband Waveform Design for Distributed Precision Jamming von Zhang, Kedi, Zhou, Qingsong, Wang, Jing, Huang, Chao, Yang, Zhongping, Zhang, Jianyun

“… Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical …”
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Accelerated image reconstruction in fluorescence molecular tomography using a nonuniform updating scheme with momentum and ordered subsets methods von Zhu, Dianwen, Li, Changqing

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Majorization–minimization generalized Krylov subspace methods for ℓp–ℓq optimization applied to image restoration von Huang, G., Lanza, A., Morigi, S., Reichel, L., Sgallari, F.

“… A new majorization–minimization framework for ℓ p – ℓ q image restoration is presented. The solution is sought in a generalized Krylov subspace that is build …”
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A majorization-minimization scheme for L 2 support vector regression von Zheng, Songfeng

“… In a support vector regression (SVR) model, using the squared ϵ-insensitive loss function makes the optimization problem strictly convex and yields a more …”
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Exploiting layerwise convexity of rectifier networks with sign constrained weights von An, Senjian, Boussaid, Farid, Bennamoun, Mohammed, Sohel, Ferdous

“… By introducing sign constraints on the weights, this paper proposes sign constrained rectifier networks (SCRNs), whose training can be solved efficiently by …”
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Nonnegative Matrix Factorization With Basis Clustering Using Cepstral Distance Regularization von Kameoka, Hirokazu, Higuchi, Takuya, Tanaka, Mikihiro, Li Li

“… One successful approach for audio source separation involves applying nonnegative matrix factorization (NMF) to a magnitude spectrogram regarded as a …”
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