Search Results - "Proposed clustering algorithm"

Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset by Xu, Mingjie, Qi, Shouliang, Yue, Yong, Teng, Yueyang, Xu, Lisheng, Yao, Yudong, Qian, Wei

“… Abnormal lungs mainly include lung parenchyma with commonalities on CT images across subjects, diseases and CT scanners, and lung lesions presenting various appearances…”
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Hybrid Genetic Algorithm for Clustering IC Topographies of EEGs by Munilla, Jorge, Al-Safi, Haedar E. S., Ortiz, Andrés, Luque, Juan L.

“…Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a…”
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Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers by Soltani, Moez, Telmoudi, Achraf Jabeur, Chaouech, Lotfi, Ali, Maaruf, Chaari, Abdelkader

“… . In the other hand, the dataset is subject to various sources of uncertainty such as measurement uncertainty, fuzziness of information and environmental noise…”
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Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation by Porta-Garcia, M. A., Yáñez-Suárez, Oscar, Valdés-Cristerna, Raquel

“… on a proposed clustering algorithm, termed Multivariate Time Series Clustering by Phase Synchrony, which generates fuzzy clusters for each multivalued time sample and thereupon obtains hard clusters…”
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Regression-based variable clustering for data reduction by McClelland, R. L., Kronmal, R. A.

“…In many studies it is of interest to cluster states, counties or other small regions in order to obtain improved estimates of disease rates or other summary…”
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Deep Learning with Constraints and Priors for Improved Subject Clustering, Medical Imaging, and Robust Inference by Lin, Wei-An

“…Deep neural networks (DNNs) have achieved significant success in several fields including computer vision, natural language processing, and robot control. The…”
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단어 임베딩을 이용한 사진 유사도 평가 및 가상현실기반 인지재활 시스템 by 최권택(KwonTaeg Choi)

“… This paper proposes a virtual reality-based cognitive rehabilitation system using image recognition technology and clustering algorithm by collecting pictures reflecting memories and memories of subjects…”
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Sheet-like white matter fiber tracts: representation, clustering, and quantitative analysis by Maddah, Mahnaz, Miller, James V, Sullivan, Edith V, Pfefferbaum, Adolf, Rohlfing, Torsten

“… representation of each bundle. We also introduce a new approach for medial surface generation of sheet-like fiber bundles in order too initialize the proposed clustering algorithm…”
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Statistical Methods for Mixed Frequency Data Sampling Models by Liu, Yun

“… Moreover, one parametric form may not necessarily be appropriate for all cross-sectional subjects…”
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Artificial Intelligence Techniques in IoT Sensor Networks by Mohamed Elhoseny, K Shankar, Mohamed Abdel-Basset

“… This book introduces the researchers and aspiring academicians the subject of latest developments and trends in AI applications for sensor networks in a clear and well-organized manner…”
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Cooperation resource efficient user-centric clustering for QoS provisioning in uplink CoMP by Zhe Zhang, Ning Wang, Jiankang Zhang, Xiaomin Mu, Wong, Kon Max

“… By considering the tradeoff between cooperative gain and cost, a cluster size minimization problem subject to QoS constraints is formulated to achieve dynamic user-centric clustering…”
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Sheet-like white matter fiber tracts: representation, clustering, and quantitative analysis by Maddah, Mahnaz, Miller, James V, Sullivan, Edith V, Pfefferbaum, Adolf, Rohlfing, Torsten

“… representation of each bundle. We also introduce a new approach for medial surface generation of sheet-like fiber bundles in order too initialize the proposed clustering algorithm…”
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The Cluster Algorithms for Solving Problems with Asymmetric Proximity Measures by Aidinyan, A. R., Tsvetkova, O. L.

“… In this case, the clustering problem is solved using an asymmetric proximity measure. The essence of the first of the proposed clustering algorithms consists in sequential…”
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