Search Results - "Principal component analysis"

PROJECTED PRINCIPAL COMPONENT ANALYSIS IN FACTOR MODELS by Fan, Jianqing, Liao, Yuan, Wang, Weichen

“…This paper introduces a Projected Principal Component Analysis (Projected-PCA), which employees principal component analysis to the projected (smoothed…”
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Generalized multilevel function-on-scalar regression and principal component analysis by Goldsmith, Jeff, Zipunnikov, Vadim, Schrack, Jennifer

“… and subject-day-specific deviations using multilevel functional principal components analysis. Thus, functional fixed effects are estimated while accounting for within…”
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Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease by O'Dell, Ryan S., Higgins-Chen, Albert, Gupta, Dhruva, Chen, Ming-Kai, Naganawa, Mika, Toyonaga, Takuya, Lu, Yihuan, Ni, Gessica, Chupak, Anna, Zhao, Wenzhen, Salardini, Elaheh, Nabulsi, Nabeel B., Huang, Yiyun, Arnsten, Amy F.T., Carson, Richard E., van Dyck, Christopher H., Mecca, Adam P.

“…). We used principal component analysis (PCA) to identify regional patterns of covariance in synaptic density using [11C…”
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Uncertainty-Aware Principal Component Analysis by Gortler, Jochen, Spinner, Thilo, Streeb, Dirk, Weiskopf, Daniel, Deussen, Oliver

“… Our method is a generalization of traditional principal component analysis (PCA) to multivariate probability distributions…”
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Principal-Component Analysis-Based Measures of PET Data Closely Reflect Neuropathologic Staging Schemes by Blazhenets, Ganna, Frings, Lars, Sörensen, Arnd, Meyer, Philipp T

“…Voxel-based principal-component analysis allows for an identification of patterns of glucose metabolism and amyloid deposition related to the conversion from mild cognitive impairment (MCI…”
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A high-performance computing toolset for relatedness and principal component analysis of SNP data by Zheng, Xiuwen, Levine, David, Shen, Jess, Gogarten, Stephanie M., Laurie, Cathy, Weir, Bruce S.

“…) to accelerate two key computations on SNP data: principal component analysis (PCA) and relatedness analysis using identity-by-descent measures…”
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Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition by Artoni, Fiorenzo, Delorme, Arnaud, Makeig, Scott

“… and functionally independent brain and non-brain source processes and thereby increasing their definition. Dimension reduction by Principal Component Analysis…”
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Sparsity Fuzzy C-Means Clustering with Principal Component Analysis Embedding by Chen, Jingwei, Zhu, Jianyong, Jiang, Hongyun, Yang, Hui, Nie, Feiping

“… Moreover, FCM is always sensitive to noise points and heavily subject to outliers. In this paper, we propose a method called sparsity FCM clustering with principal component analysis embedding (P_SFCM…”
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Principal component analysis on chemical abundances spaces by Ting, Y. S., Freeman, K. C., Kobayashi, C., De Silva, G. M., Bland-Hawthorn, J.

“…]. This leads to a way to study the origin of elements from observed chemical abundances using principal component analysis…”
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Functional Principal Component Analysis for Continuous Non‐Gaussian, Truncated, and Discrete Functional Data by Dey, Debangan, Ghosal, Rahul, Merikangas, Kathleen, Zipunnikov, Vadim

“…: continuous, truncated, ordinal, and binary. Motivated by these examples, we develop a functional principal component analysis that deals with all four types of functional data in a unified manner…”
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Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject by Zhang, Guanghui, Li, Xueyan, Lu, Yingzhi, Tiihonen, Timo, Chang, Zheng, Cong, Fengyu

“…Temporal principal component analysis (tPCA) has been widely used to extract event-related potentials (ERPs…”
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MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS by Di, Chong-Zhi, Crainiceanu, Ciprian M, Caffo, Brian S, Punjabi, Naresh M

“… To address these challenges, we introduce multilevel functional principal component analysis (MFPCA…”
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Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors by Zablocki, Rong W., Hartman, Sheri J., Di, Chongzhi, Zou, Jingjing, Carlson, Jordan A., Hibbing, Paul R., Rosenberg, Dori E., Greenwood-Hickman, Mikael Anne, Dillon, Lindsay, LaCroix, Andrea Z., Natarajan, Loki

“…Background Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers…”
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A principal component analysis is conducted for a case series quality appraisal checklist by Guo, Bing, Moga, Carmen, Harstall, Christa, Schopflocher, Don

“… A principal component analysis of these appraisals was conducted to further refine the checklist…”
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Within-Subject Principal Component Analysis of External Training Load and Intensity Measures in Youth Soccer Training by Marynowicz, Jakub, Lango, Mateusz, Horna, Damian, Kikut, Karol, Konefał, Marek, Chmura, Paweł, Andrzejewski, Marcin

“… Within-participant principal component analysis of external training load and intensity measures in youth soccer training…”
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Adaptive dimensionality reduction for neural network-based online principal component analysis by Migenda, Nico, Möller, Ralf, Schenck, Wolfram

“…“Principal Component Analysis” (PCA) is an established linear technique for dimensionality reduction…”
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Saliency Detection via the Improved Hierarchical Principal Component Analysis Method by Ghabally, Mike, Masri, Christina, Tantak, Nour, Ward, Fadi, Omar, Ghefar, Gennatas, Constantine, Chen, Yuantao, Chammout, Anwar

“… on Hierarchical Principal Component Analysis (HPCA) has been proposed in the paper. Firstly, the original RGB image has been converted to a grayscale image, and the original…”
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A novel approach to study human posture control: “Principal movements” obtained from a principal component analysis of kinematic marker data by Federolf, Peter A.

“…Human upright posture is maintained by postural movements, which can be quantified by “principal movements” (PMs) obtained through a principal component analysis…”
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VIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis by Zabel, Susanne, Hennig, Philipp, Nieselt, Kay

“… Concretely, we consider the classic notion of principal component analysis (PCA): If it is applied to a finite data matrix containing imperfect (i.e., uncertain…”
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Biomechanical features of gait waveform data associated with knee osteoarthritis: an application of principal component analysis by Deluzio, K J, Astephen, J L

“… Principal component analysis was used as a data reduction tool, as well as a preliminary step for further analysis to determine gait pattern differences between the OA and the control groups…”
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