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Multi-level Fisher vector aggregated completed local fractional order derivative feature vector for face recognition
In this paper, we propose an image feature extraction method, multi-level Fisher vector aggregated completed local fractional order derivative...
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Fisher Discriminant Analysis
Fisher Discriminant Analysis (FDA) attempts to find a subspace that separates the classes as much as possible, while the data also become as spread...
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A new chaotic satellite image encryption algorithm based on a 2D filter and Fisher–Yates shuffling
This paper proposes a new chaotic satellite image encryption algorithm based on a 2D filter and Fisher–Yates shuffling. To reduce the encryption time...
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Improved gene expression diagnosis via cascade entropy-fisher score and ensemble classifiers
Feature selection is an important technique used in bioinformatics modeling to reduce the dimensionality of high-dimensional data. However,...
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Novel sampling method for the von Mises–Fisher distribution
The von Mises–Fisher distribution is a widely used probability model in directional statistics. An algorithm for generating pseudo-random vectors...
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Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification
In general, it is a worth challenging problem to build a robust classifier for data sets with noises or outliers. Establishing a robust classifier is...
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Online local fisher risk minimization: a new online kernel method for online classification
This study presents a new online kernel algorithm for online classification, called the online local Fisher rick minimization (OLFRM). Motivated by...
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Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance
Fisher discriminant analysis (FDA) is a widely used dimensionality reduction tool in pattern recognition. However, FDA cannot obtain an optimal...
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Lung and colon classification using improved local Fisher discriminant analysis with ANFIS
Cancer has a high mortality rate due to its aggressiveness, potential for metastasis, and heterogeneity. There are several types of cancers that are...
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Multi-level Fusion of Fisher Vector Encoded BERT and Wav2vec 2.0 Embeddings for Native Language Identification
Native Language Identification is a prominent paralinguistic study with applications ranging from biometric analysis to speaker adaptation. Former...
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Fisher pruning for developing real-time UAV trackers
Unmanned aerial vehicle (UAV)-based tracking has shown large potential in various domains such as transportation, logistics, public safety, and more....
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Fisher Vectors for Biometric Presentation Attack Detection
Biometric systems have experienced a large development over the last years since they are accurate, secure and in many cases, more user convenient...
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On Fisher Information Matrix, Array Manifold Geometry and Time Delay Estimation
The Fisher information matrix is used to evaluate the minimum variance-covariance of unbiased parameter estimation. It is also used, in natural...
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Complete joint global and local collaborative marginal fisher analysis
Marginal Fisher analysis (MFA) maintains the nearest neighbor structure according to the class information of samples, so it achieves good...
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FVAE: a regularized variational autoencoder using the Fisher criterion
As a deep generative model, the variational autoencoder (VAE) is widely applied to solve problems of insufficient samples and imbalanced labels. In...
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Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information
Transformer models have been a breakthrough in Natural Language Processing. However, the performance of these models comes with their enormous size,...
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Unsupervised domain adaptation via transferred local Fisher discriminant analysis
Domain adaptation in machine learning and image processing aims to benefit from gained knowledge of the multiple labeled training sets (i.e. source...
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Cross-domain Fisher Discrimination Criterion: A Domain Adaptive Method Based on the Nature of Classifier
Most domain adaptive methods enhance the classification performance of target domain via overcoming the distribution difference between source and...
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Generalized Fisher Kernel with Bregman Divergence
The Fisher kernel has good statistical properties. However, from a practical point of view, the necessary distributional assumptions complicate the...
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A Consumer-Theoretic Characterization of Fisher Market Equilibria
In this paper, we bring consumer theory to bear in the analysis of Fisher markets whose buyers have arbitrary continuous, concave, homogeneous (CCH)...
