Support vector machines (SVMs) are the most well known nonlinear classifiers based on the Mercer kernel trick. They generally leads to very sparse solutions that ensure good generalization performance. Recently Mika et al. have proposed a new nonlinear technique based on the kernel trick and the Fisher criterion: the nonlinear kernel Fisher discriminant (KFD). Experiments show that KFD is compe...

Hyperspectral images provide abundant information about objects. The high dimensionality of such images arise various problems such as curse of dimensionality and large hypothesis space. There are two methods to overcome the high dimensionality problem which are band selection and feature extraction. In this paper we present a feature extraction method based on an angular criterion; this method...

The problem of recognizing objects imaged in complex real-world scenes is examined from a parametric perspective using the theory of statistical estimation. A scalar measure of an object's complexity, which is invariant under aane transformation and changes in image noise level, is extracted from the object's Fisher information. The volume of Fisher information is shown to provide an overall st...

We conduct a systematic comparison of the performance of four commonly used P value combination methods applied to panel unit root tests: the original Fisher test, the modified inverse normal method, Simes test, and the modified truncated product method TPM . Our simulation results show that under cross-section dependence the original Fisher test is severely oversized, but the other three tests...

this article is for the coupling fault diagnosis of rotor system, and does in-depth analysis of the rotor unbalance and misalignment, and the fault formed by the coupling of these two. Through research, Rotor Coupling was found filled with rich features. In this paper, Wavelet packet de-noising ideas being introduced to the local Fisher discriminant analysis (LFDA), a new method of fault diagno...

Aurora is the typical ionosphere track generated by the interaction of solar wind and magnetosphere. This paper proposed a method based on eigenvalue-scaling kernel fisher discriminant analysis and Karhunen-Loeve Transform (KLT) to take advantage of interband correlation between aurora images to detect the change of aurora in serial time. Conventional classification algorithms are incapable of ...

We have calculated the Tsallis entropy and Fisher information matrix (entropy) of spatially correlated nonextensive systems, by using an analytic non-Gaussian distribution obtained by the maximum entropy method. The effects of the correlated variability on the Fisher information matrix are shown to be different from those on the Tsallis entropy. The Fisher information is increased (decreased) b...

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The imprint of neutrino oscillations on the Cosmic Microwave Background (CMB) anisotropy and polarization power spectra is evaluated in a ΛCHDM model with two active neutrino flavors, consistent with the structure formation models and the atmospheric neutrino oscillations data. By using the Fisher information matrix method we find that the neutrino oscillations could be detected by Planck surve...