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08/31/2023
Least Squares Maximum and Weighted Generalization-Memorization Machines
In this paper, we propose a new way of remembering by introducing a memo...
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10/12/2022
Classification by estimating the cumulative distribution function for small data
In this paper, we study the classification problem by estimating the con...
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07/08/2022
Generalization-Memorization Machines
Classifying the training data correctly without over-fitting is one of t...
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03/01/2022
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss
Recent advance on linear support vector machine with the 0-1 soft margin...
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04/17/2021
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints
In semi-supervised fuzzy clustering, this paper extends the traditional ...
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11/11/2020
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications
Recently proposed L2-norm linear discriminant analysis criterion via the...
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11/04/2020
Capped norm linear discriminant analysis and its applications
Classical linear discriminant analysis (LDA) is based on squared Frobeni...
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05/23/2020
Principal Component Analysis Based on Tℓ_1-norm Maximization
Classical principal component analysis (PCA) may suffer from the sensiti...
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02/17/2020
Multiple Flat Projections for Cross-manifold Clustering
Cross-manifold clustering is a hard topic and many traditional clusterin...
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10/22/2019
Single Versus Union: Non-parallel Support Vector Machine Frameworks
Considering the classification problem, we summarize the nonparallel sup...
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01/26/2019
A general model for plane-based clustering with loss function
In this paper, we propose a general model for plane-based clustering. Th...
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12/10/2018
Ramp-based Twin Support Vector Clustering
Traditional plane-based clustering methods measure the cost of within-cl...
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11/06/2018
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm
In this paper, we propose a novel linear discriminant analysis criterion...
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01/23/2018
