Results 211 to 220 of about 1,037 (242)
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Adaptable K-nearest neighbor for image interpolation
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008A variant of the k-nearest neighbor algorithm is proposed for image interpolation. Instead of using a static volume or static k, the proposed algorithm determines a dynamic k that is small for inputs whose neighbors are very similar and large for inputs whose neighbors are dissimilar. Then, based on the neighbors that the adaptable k provides and their
Truong Q Nguyen
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Quantum realization of the nearest-neighbor interpolation method for FRQI and NEQR
Quantum Information Processing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shen Wang, Xiamu Niu, Niu Xiamu
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Grid interpolation algorithm based on nearest neighbor fast search
Earth Science Informatics, 2012The nearest neighbor search algorithm is one of the major factors that influence the efficiency of grid interpolation. This paper introduces a KD-tree that is a two-dimensional index structure for use in grid interpolation. It also proposes an improved J-nearest neighbor search strategy based on “priority queue” and “neighbor lag” concepts.
Can Cui, Liang Cheng, Jiechen Wang
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Quantum realization of the nearest neighbor value interpolation method for INEQR
Quantum Information Processing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ri-Gui Zhou, Wenwen Hu, Gaofeng Luo
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Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio
Quantum Information Processing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nan Jiang, Jian Wang, Jiang Nan
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Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning
IEEE Transactions on Games, 2016Reinforcement learning (RL) has had mixed success when applied to games. Large state spaces and the curse of dimensionality have limited the ability for RL techniques to learn to play complex games in a reasonable length of time. We discuss a modification of Q-learning to use nearest neighbor states to exploit previous experience in the early stages of
Matthew S Emigh +2 more
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Flood Prediction Using Inverse Distance Weighted Interpolation of K-Nearest Neighbor Points
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021Flood depth prediction is of critical importance for disaster mitigation. We aimed at developing a system to predict the flood depth of a certain coordinate. We used open source Metro Manila Flood Landscape Data [18], where flood depths were represented in levels. Our proposed algorithm is, first, selecting the nearest neighbors of the coordinate whose
Satria Nusa Paradilaga +3 more
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An improved interpolation algorithm using nearest neighbor from VTK
2010 International Conference on Audio, Language and Image Processing, 2010This paper proposes an improved image interpolation algorithm using nearest neighbor. The algorithm uses the mathematical morphology to determine the contours of each region for the two slicing images, obtains the interpolation image boundary based on distance transform, and then gets the gray values of all the corresponding points through the nearest ...
Wanggen Wan, Xueli Zhou
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A Face Recognition Approach Based on Nearest Neighbor Interpolation and Local Binary Pattern
2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016In this paper, we present a novel approachfor face recognition which consists of a dimensionalityreduction of face feature vectors. The image scaling is firstlyconducted on an input face image. Then we applied the LocalBinary Pattern (LBP) operator by dividing the face imageinto non-overlapped regions.
Josky Aïzan +2 more
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Improved nearest neighbor interpolators based on confidence region in medical image registration
Biomedical Signal Processing and Control, 2012Abstract In order to reduce artifacts in match metric and improve the registration speed in medical image registration, three types of improved nearest neighbor (NN) interpolators based on confidence region (CR) are studied. These improved NN interpolators include: (1) NN based on deterministic confidence region (DCR), DCRNN; (2) NN based on ...
Shunbo Hu, Peng Shao
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