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Kernel methods for melanoma recognition.
Studies in health technology and informatics, 2006Skin cancer is a spreading disease in the western world. Early detection and treatment are crucial for improving the patient survival rate. In this paper we present two algorithms for computer assisted diagnosis of melanomas. The first is the support vector machines algorithm, a state-of-the-art large margin classifier, which has shown remarkable ...
La Torre, Elisabetta +3 more
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2006
Kernel Methods are algorithms that implicitly perform, by replacing the inner product with an appropriate Mercer Kernel, a nonlinear mapping of the input data to a high dimensional Feature Space. In this paper, we describe a Kernel Method for clustering.
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Kernel Methods are algorithms that implicitly perform, by replacing the inner product with an appropriate Mercer Kernel, a nonlinear mapping of the input data to a high dimensional Feature Space. In this paper, we describe a Kernel Method for clustering.
openaire +2 more sources
2007
During the past decade, a major revolution has taken place in pattern-recognition technology with the introduction of rigorous and powerful mathematical approaches in problem domains previously treated with heuristic and less efficient techniques.
Cristianini, N. +2 more
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During the past decade, a major revolution has taken place in pattern-recognition technology with the introduction of rigorous and powerful mathematical approaches in problem domains previously treated with heuristic and less efficient techniques.
Cristianini, N. +2 more
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Kernel-factorization deconvolution method
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. N. Kong, Z. P. Li
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Decomposition Method for Tree Kernels
2007We often meet the tree decomposition task in the tree kernel computing. And tree decomposition tends to vary under different tree mapping constraint. In this paper, we first introduce the general tree decomposition function, and compare the three variants of the function corresponding to different tree mapping.
Peng Huang, Jie Zhu
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A kernel‐based method for solving the time‐fractional diffusion equation
Numerical Methods for Partial Differential Equations, 2023Mojtaba Fardi
exaly
A kernel-based image denoising method for improving parametric image generation
Medical Image Analysis, 2019Hsuan-Ming Huang
exaly
A novel method for a fractional derivative with non-local and non-singular kernel
Chaos, Solitons and Fractals, 2018Ali AKGÜL
exaly