Results 31 to 40 of about 528,222 (154)
Image clustering using exponential discriminant analysis
IET Computer Vision, 2015 Local learning based image clustering models are usually employed to deal with images sampled from the non‐linear manifold. Recently, linear discriminant analysis (LDA) based various clustering models were proposed.
Nasir Ahmed
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Discriminant Analysis of Bronchitis Cancer Data
Journal of Kufa for Mathematics and Computer, 2012 The aim of this research is to predict membership in two mutually exclusive groups of bronchitis cancer patients, and allocating new patients using Discriminant Analysis.
Nazera Khalil Dakhil +2 more
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Multi-View Classification via Adaptive Discriminant Analysis
IEEE Access, 2019 In many real applications, an object is usually represented with multiple views, providing compatible and complementary information to each other. Therefore, it is highly desirable to recognize the object from distinct and even heterogeneous views.
Deyan Xie +5 more
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Joint Bayesian Gaussian discriminant analysis for speaker verification
, 2017 State-of-the-art i-vector based speaker verification relies on variants of Probabilistic Linear Discriminant Analysis (PLDA) for discriminant analysis.
Ou, Zhijian, Wang, Yiyan, Xu, Haotian
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The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis
, 2020 Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is known to successfully alleviate the limitation through a nonlinear ...
Kim, Jiae, Lee, Yoonkyung, Liang, Zhiyu
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Dimension Reduction by Mutual Information Discriminant Analysis [PDF]
, 2012 In the past few decades, researchers have proposed many discriminant analysis (DA) algorithms for the study of high-dimensional data in a variety of problems.
Shadvar, Ali
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Target Contrastive Pessimistic Discriminant Analysis
, 2018 Domain-adaptive classifiers learn from a source domain and aim to generalize to a target domain. If the classifier's assumptions on the relationship between domains (e.g.
Kouw, Wouter M., Loog, Marco
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Analyze of Classification Accaptence Subsidy Food Using Kernel Discriminant [PDF]
, 2015 Subsidy food is government program for social protection to poor households. The aims of this program are to effort households from starve and to decrease poverty. Less precisely target of this program has negative impact. So that
Mukid, Moch. Abdul, Prahutama, Alan
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Robust Locally Discriminant Analysis via Capped Norm
IEEE Access, 2019 Conventional linear discriminant analysis and its extended versions have some potential drawbacks. First, they are sensitive to outliers, noise, and variations in data, which degrades their performances in dimensionality reduction.
Zhihui Lai +3 more
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Latent Fisher Discriminant Analysis [PDF]
, 2013 Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. Previous studies have also extended the binary-class case into multi-classes.
Chen, Gang
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