Results 51 to 60 of about 527,772 (339)

Spectral–Spatial Attention-Guided Multi-Resolution Network for Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pansharpening is a technique that combines high-resolution panchromatic (PAN) images with low-resolution multispectral (MS) images to produce high-resolution MS (HRMS) images.
Shen Xu, Shengwei Zhong, Hui Li, Chen Gong   +3 more
doaj   +1 more source

Heteroskedastic PCA: Algorithm, optimality, and applications [PDF]

Annals of Statistics, 2018
Principal component analysis (PCA) and singular value decomposition (SVD) are widely used in statistics, machine learning, and applied mathematics. It has been well studied in the case of homoskedastic noise, where the noise levels of the contamination ...
Anru R. Zhang, T. Cai, Yihong Wu
semanticscholar   +1 more source

RKF-PCA: Robust kernel fuzzy PCA

Neural Networks, 2009
Principal component analysis (PCA) is a mathematical method that reduces the dimensionality of the data while retaining most of the variation in the data. Although PCA has been applied in many areas successfully, it suffers from sensitivity to noise and is limited to linear principal components.
Computer and Information Science and Engineering, University of Florida, United States ( host institution ), Heo, Gyeongyong ( author ), Gader, Paul ( author ), Frigui, Hichem ( author )   +3 more
openaire   +4 more sources

On the Applications of Robust PCA in Image and Video Processing

Proceedings of the IEEE, 2018
Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse matrices offers a powerful framework for a large variety of applications such as image processing, video processing, and 3-D computer vision.
T. Bouwmans, S. Javed, Hongyan Zhang, Zhouchen Lin, R. Otazo   +4 more
semanticscholar   +1 more source

A survey on deep learning for polyp segmentation: techniques, challenges and future trends

Visual Intelligence
Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp regions.
Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu   +6 more
doaj   +1 more source

PCA as a practical indicator of OPLS-DA model reliability.

Current Metabolomics, 2016
BACKGROUND Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) are powerful statistical modeling tools that provide insights into separations between experimental groups based on high ...
Bradley Worley, R. Powers
semanticscholar   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Dimensionality reduction of medical image descriptors for multimodal image registration

Current Directions in Biomedical Engineering, 2015
Defining similarity forms a challenging and relevant research topic in multimodal image registration. The frequently used mutual information disregards contextual information, which is shared across modalities.
Degen Johanna, Modersitzki Jan, Heinrich Mattias P.   +2 more
doaj   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

Monitoring content of cadmium, calcium, copper, iron, lead, magnesium and manganese in tea leaves by electrothermal and flame atomizer atomic absorption spectrometry

Open Chemistry, 2017
Due to the simplicity of tea preparation (pouring hot water onto different dried herbs) and its high popularity as a beverage, monitoring and developing a screening methodology for detecting the metal content is very important.
Prkić Ante, Jurić Antonija, Giljanović Josipa, Politeo Nives, Sokol Vesna, Bošković Perica, Brkljača Mia, Stipišić Angela, Fernandez Carlos, Vukušić Tina   +9 more
doaj   +1 more source