Results 51 to 60 of about 522,381 (263)

Multiscale Union Regions Adaptive Sparse Representation for Hyperspectral Image Classification

Remote Sensing, 2017
Sparse Representation has been widely applied to classification of hyperspectral images (HSIs). Besides spectral information, the spatial context in HSIs also plays an important role in the classification.
Fei Tong, Hengjian Tong, Junjun Jiang, Yun Zhang   +3 more
doaj   +1 more source

Adaptive Iterated Shrinkage Thresholding-Based L_p-Norm Sparse Representation for Hyperspectral Imagery Target Detection

Remote Sensing, 2020
In recent years, with the development of compressed sensing theory, sparse representation methods have been concerned by many researchers. Sparse representation can approximate the original image information with less space storage. Sparse representation
Xiaobin Zhao, Wei Li, Mengmeng Zhang, Ran Tao, Pengge Ma   +4 more
doaj   +1 more source

Group Sparse CNNs for Question Classification with Answer Sets

, 2017
Question classification is an important task with wide applications. However, traditional techniques treat questions as general sentences, ignoring the corresponding answer data.
Huang, Liang, Ma, Mingbo, Xiang, Bing, Zhou, Bowen   +3 more
core   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

Molecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken, Maartje Witsen, Emile E. Voest, Krijn K. Dijkstra   +3 more
wiley   +1 more source

Sparse representation-based SAR imaging [PDF]

, 2009
There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat, Masnadi-Shirazi, Mohammad Ali, Samadi, Sadegh, Çetin, Müjdat   +3 more
core   +1 more source

Sparse Representation-based Image Quality Assessment

, 2013
A successful approach to image quality assessment involves comparing the structural information between a distorted and its reference image. However, extracting structural information that is perceptually important to our visual system is a challenging ...
Guha, Tanaya, Nezhadarya, Ehsan, Ward, Rabab K   +2 more
core   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Loose L1/2 regularised sparse representation for face recognition

IET Computer Vision, 2015
Sparse representation (or sparse coding) has been applied to deal with frontal face recognition. Two representative methods are the sparse representation‐based classification (SRC) and the collaborative representation‐based classification (CRC), in which
Dexing Zhong, Zichao Xie, Yanrui Li, Jiuqiang Han   +3 more
doaj   +1 more source

Kernel difference maximisation-based sparse representation for more accurate face recognition

The Journal of Engineering, 2020
Most methods for sparse representation are designed to be used in the original space. However, their performance is not always satisfactory especially when training samples are limited.
Lian Wu, Wenbo Xu, Jianchuan Zhao, Zhongwei Cui, Yong Zhao   +4 more
doaj   +1 more source