Results 31 to 40 of about 282,520 (286)
Improved Harris' Algorithm for Corner and Edge Detections
2007 IEEE International Conference on Image Processing, 2007 A more accurate algorithm for corner and edge detections that is the improved form of the well-known Harris' algorithm is introduced. First, instead of approximating |L[m+x, n+y]-L[m, n]|2 just in terms of x2, xy, and y2, we will approximate |L[m+x, n+y]-L[m, n]|(L[m+x, n+y]-L[m, n]) by the linear combination of x2, xy, y2, x, y, and 1.
Soo-Chang Pei, Jian-Jiun Ding
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Advances in Mathematical Physics, 2014 The Harris algorithm via fractional order derivative (the adaptive fractional differentiation Harris corner detection algorithm), which adaptively adjusts the fractal dimension parameter, has been investigated for an analysis of image processing relevant
Rui-Yin Tang, Zhou-Mo Zeng
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TDOA Localization Based on Improved Harris Hawk Optimization Algorithm [PDF]
Jisuanji gongcheng, 2020 To solve the nonlinear equation problem of indoor Time Difference of Arrival(TDOA) localization,this paper proposes a localization algorithm based on improved Harris Hawk Optimization(HHO),maintaining the optimization mechanism while enhancing the ...
MA Yiming, SHI Zhidong, ZHAO Kang, GONG Changlei, SHAN Lianhai
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Greedy low-rank algorithm for spatial connectome regression [PDF]
, 2019 Recovering brain connectivity from tract tracing data is an important computational problem in the neurosciences. Mesoscopic connectome reconstruction was previously formulated as a structured matrix regression problem (Harris et al., 2016), but existing
Benner, Peter +3 more
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Segmentation of brain MRI using an altruistic Harris Hawks’ Optimization algorithm [PDF]
Knowledge-Based Systems, 2021 Segmentation is an essential requirement in medicine when digital images are used in illness diagnosis, especially, in posterior tasks as analysis and disease identification. An efficient segmentation of brain Magnetic Resonance Images (MRIs) is of prime concern to radiologists due to their poor illumination and other conditions related to de ...
Rajarshi Bandyopadhyay +3 more
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Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression [PDF]
, 2010 We develop a particle swarm optimisation (PSO) aided orthogonal forward regression (OFR) approach for constructing radial basis function (RBF) classifiers with tunable nodes.
Chen, S, Harris, C J, Hong, Xia
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Improvement of Harris Algorithm Based on Gaussian Scale Space [PDF]
Engineering and Technology Journal, 2019 Features is the description of the image contents which could be corner, blob or edge. Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc.
Abdul Amir Karim, Rafal Sameer
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Distributed Random Access Algorithm: Scheduling and Congesion Control
, 2009 This paper provides proofs of the rate stability, Harris recurrence, and epsilon-optimality of CSMA algorithms where the backoff parameter of each node is based on its backlog.
Jiang, Libin +3 more
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Random recursive trees: A boundary theory approach [PDF]
, 2014 We show that an algorithmic construction of sequences of recursive trees leads to a direct proof of the convergence of random recursive trees in an associated Doob-Martin compactification; it also gives a representation of the limit in terms of the input
Grübel, Rudolf, Michailow, Igor
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Mathematics, 2023 Harris Hawks Optimization (HHO) simulates the cooperative hunting behavior of Harris hawks and it has the advantages of fewer control parameters, simple principles, and excellent exploitation ability.
Yunshan Sun +4 more
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