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within-class scatter (21) 21
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Neurocomputing, ISSN 0925-2312, 06/2013, Volume 110, pp. 101 - 110
.... However, FSVM ignores an important prior knowledge, the within-class structure. In this paper, we propose a new classification algorithm-FSVM with minimum within-class scatter (WCS-FSVM... 
Within-class scatter | Fuzzy support vector machine | Fuzzy membership | Maximal margin | SMO ALGORITHM | SVM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2011, Volume 7870
An improved RANSAC algorithm using within-class scatter matrix for fast image stitching is proposed in this paper... 
Image stitching | Within-class scatter matrix | Improved RANSAC | Matching | Accuracy | Algorithms | Image processing | Computation | Images | Robustness | Scatter | Stitching
Conference Proceeding
Neural Networks, ISSN 0893-6080, 04/2020, Volume 124, pp. 60 - 74
.... In this paper, we propose a novel unsupervised domain adaptation method, referred to as Robust Adaptation Regularization based on Within-Class Scatter (WCS-RAR... 
Joint distribution matching | Domain adaptation | Within-class scatter | Robust loss | Manifold regularization | SVM | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SPARSE REPRESENTATION | KERNEL | ALIGNMENT | MULTIPLE SOURCES | FRAMEWORK | FEATURE CO-REGRESSION
Journal Article
NEURAL PROCESSING LETTERS, ISSN 1370-4621, 02/2020, Volume 51, Issue 1, pp. 797 - 817
.... The new algorithm makes the minority class more clustered by assigning a small weight for the within-class scatter matrix of minority class, which can improve the classification performance... 
Biased support vector machine | Class imbalanced | Support vector machine | Weighted within-class scatter | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms | Engineering schools
Journal Article
Knowledge-based systems, ISSN 0950-7051, 2017, Volume 119, pp. 152 - 165
Journal Article
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 11/2017, Volume 49, pp. 38 - 46
•We propose a block discriminant analysis method to extract features for third-order tensors.•We conduct comprehensive experiments on real-wolrd datasets.•The... 
Visual tensors | Discriminant analysis | Hyperspectral face recognition | Within-class scatter | Between-class scatter | Gait recognition | COMPUTER SCIENCE, SOFTWARE ENGINEERING | PRINCIPAL | COMPUTER SCIENCE, INFORMATION SYSTEMS | PCA | Neurosciences | Algorithms | Analysis | Remote sensing | Biometry | Machine learning
Journal Article
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 12/2019, pp. 2897 - 2902
.... While TWSVM and RMCV-TWSVM always neglect the local characteristics of each class sample. Based on the above analysis, this paper presents least squares twin support vector machine based on manifold-based within-class scatter (MWCS-LSTSVM... 
Support vector machines | Manifolds | manifold-based within-class scatter | Linear programming | least squares twin support vector machine | Classification algorithms | Mathematical model | Risk management | Generalization | Optimization
Conference Proceeding
2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI), 09/2019, pp. 111 - 116
.... In this paper, we propose a novel within-class scatter constraint based randomized AE (WSC-RAE) by introducing a constraint on the distribution of the encoded feature to restrict the solution space and thus avoid the meaningless features. The proposed WSC-RAE is then embedded into a multilayer one-class ELM (ML-OCELM) framework for OCC. Experiments on 17 benchmark datasets are carried out to demonstrate the superiority of WSC-RAE. 
One-Class Classification | Autoencoder | Within-class Scatter
Conference Proceeding
Applied Soft Computing Journal, ISSN 1568-4946, 2011, Volume 11, Issue 8, pp. 5602 - 5610
Based on minimum within-class scatter support vector machines (MCSVM), a new matrix pattern based MCSSVM (MCSVM matrix) is presented... 
Matrix pattern | SVM | Within-class scatter matrix | Face recognition | CLASS VARIANCE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | RECOGNITION | FEATURE-EXTRACTION | 2-DIMENSIONAL PCA | FACE REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Security and communication networks, ISSN 1939-0114, 2013, Volume 6, Issue 9, pp. 1064 - 1074
Journal Article
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 07/2016, Volume 38, pp. 561 - 572
Journal Article
AEUE - International Journal of Electronics and Communications, ISSN 1434-8411, 07/2016, Volume 70, Issue 7, pp. 920 - 927
Journal Article
Soft Computing, ISSN 1432-7643, 10/2017, Volume 21, Issue 19, pp. 5859 - 5865
Journal Article
Journal of Medical Imaging and Health Informatics, ISSN 2156-7018, 06/2015, Volume 5, Issue 3, pp. 491 - 496
Journal Article
Tien Tzu Hsueh Pao/Acta Electronica Sinica, ISSN 0372-2112, 05/2009, Volume 37, Issue 5, pp. 1051 - 1057
Journal Article
GSTF Journal on Computing (JoC), 8/2013, Volume 3, Issue 2, pp. 1 - 7
.... However, the projection data using the PCA are lack of discriminatory power. This problem is caused by removing the null space of data scatter that contains much discriminant information... 
sub-space | Computer Science | LDA | face recognition | Holistic features | Computer Science, general | within class scatter | PCA
Journal Article
Applied mechanics and materials, ISSN 1660-9336, 06/2011, Volume 58-60, pp. 79 - 84
..., they can’t take within-class and between-class scatter into consideration. Inspired from the Fisher’s discriminant ratio in linear discriminant analysis (LDA... 
Support vector machine (SVM) | Linear discriminant analysis (LDA) | Within-class scatter | Between-class scatter | Classification
Journal Article
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