Abstract. A new non-linear minimum norm template matching technique is introduced. Similar to the theory of Support Vector Machines the proposed framework is ...
In this paper the problem of finding the location of a known reference image, or template, in a larger input image is addressed. Finding the location of the.
A new non-linear minimum norm template matching technique is introduced. Similar to the theory of Support Vector Machines the proposed framework is also ...
Feb 23, 2017 · Now, using kernels they can find even non-linear separation boundaries which was great. So far, I really do not have any idea how SVMs (a ...
A theoretical and practical investigation of the different forms of kernel-based non- linear regression models and efficient kernel-based algorithms for ...
Missing: Template | Show results with:Template
Jul 27, 2023 · Yes, convolution alone is not equivalent to template matching based on cosine similarity. You still need to normalize.
Missing: Non- | Show results with:Non-
This paper proposes a novel approach for identification of nonlinear systems. By transforming the data space into a feature space, kernel methods can be used ...
Missing: Template | Show results with:Template
This article introduces a non-linear grey Fourier model utilizing the kernel method to better characterize seasonal traffic speed with fluctuating trends.
In this paper we propose a very fast pattern matching scheme based on a distance measure expressed as a min- imization problem over all possible tone mappings, ...
As electrical load data is highly non-linear in nature, in the proposed approach, we first use a Reproducing Kernel Hilbert Space (RKHS) method to fit the data.