Search results for "Kernel-PCA"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
158	Chengjun Liu	Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	fractional power polynomial models, Gabor wavelet representation, Gabor-based kernel PCA method, Face recognition, kernel Principal Component Analysis (PCA)
90	Min-Seok Kim, Il-Ho Yang, Ha-Jin Yu	Robust Speaker Identification Using Greedy Kernel PCA.	ICTAI (2)	2008	DBLP DOI BibTeX RDF
90	Byung-Joo Kim, Il Kon Kim, Kwang-Baek Kim	Feature Extraction and Classification System for Nonlinear and Online Data.	PAKDD	2004	DBLP DOI BibTeX RDF	Emperical kernel map, Kernel PCA, Incremental PCA, LS-SVM
88	Xudong Xie, Kin-Man Lam 0001	Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
86	António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe	Kernel Principal Components Are Maximum Entropy Projections.	ICA	2006	DBLP DOI BibTeX RDF	entropy projections, Kernel PCA, information-theoretic learning
84	Pedro Sánchez, Cornelio Yáñez, Jonathan Pecero, Apolinar Ramírez	Egomotion Estimation as an Appearance-Based Classification Problem.	CIARP	2006	DBLP DOI BibTeX RDF	Egomotion estimation, Kernel PCA, probabilistic approach
79	Murat Ekinci, Murat Aykut	Palmprint Recognition by Applying Wavelet-Based Kernel PCA.	J. Comput. Sci. Technol.	2008	DBLP DOI BibTeX RDF	pattern recognition, biometrics, wavelet transform, kernel PCA, palmprint recognition
76	Roman Rosipal, Mark A. Girolami, Leonard J. Trejo, Andrzej Cichocki	Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	De-noising, Human performance monitoring, Feature extraction, Kernel functions, Principal components, Nonlinear regression
74	Carlos Alzate, Johan A. K. Suykens	Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
68	Byung-Joo Kim, Il Kon Kim	Incremental Nonlinear PCA for Classification.	PKDD	2004	DBLP DOI BibTeX RDF	Incremental nonlinear PCA, Feature mapping function, Kernel PCA, LS-SVM
60	Sanparith Marukatat	Sparse Kernel PCA by Kernel K-Means and Preimage Reconstruction Algorithms.	PRICAI	2006	DBLP DOI BibTeX RDF
60	Qingshan Liu 0001, Jian Cheng 0001, Hanqing Lu, Songde Ma	Distance Based Kernel PCA Image Reconstruction.	ICPR (3)	2004	DBLP DOI BibTeX RDF
59	Murat Ekinci, Murat Aykut	Human Gait Recognition Based on Kernel PCA Using Projections.	J. Comput. Sci. Technol.	2007	DBLP DOI BibTeX RDF	gait representation, pattern recognition, biometrics, gait recognition, kernel PCA
59	Alissar Nasser, Denis Hamad, Chaiban Nasr	Kernel PCA as a Visualization Tools for Clusters Identifications.	ICANN (2)	2006	DBLP DOI BibTeX RDF	DB index, Clustering, visualization, K-means, Kernel PCA
59	Saad Ali, Mubarak Shah	An integrated approach for generic object detection using kernel PCA and boosting.	ICME	2005	DBLP DOI BibTeX RDF	intraclass variation, generic object detection, nonlinear shape subspace learning, principal component analysis, AdaBoost, kernel PCA, integrated approach, Bayes classifier
55	Qingshan Liu 0001, Rui Huang, Hanqing Lu, Songde Ma	Face Recognition Using Kernel Based Fisher Discriminant Analysis.	FGR	2002	DBLP DOI BibTeX RDF	FLDA, Kernel FDA, Face Recognition
51	Yoshikazu Washizawa, Kenji Hikida, Toshihisa Tanaka, Yukihiko Yamashita	Kernel Relative Principal Component Analysis for Pattern Recognition.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
51	Byong-Hee Jun, Jang-Hwan Park, Sang-Ill Lee, Myung-Geun Chun	Kernel PCA Based Faults Diagnosis for Wastewater Treatment System.	ISNN (2)	2006	DBLP DOI BibTeX RDF
49	Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum	Shape-Based Approach to Robust Image Segmentation using Kernel PCA.	CVPR (1)	2006	DBLP DOI BibTeX RDF
49	Daniel Cremers, Timo Kohlberger, Christoph Schnörr	Nonlinear Shape Statistics via Kernel Spaces.	DAGM-Symposium	2001	DBLP DOI BibTeX RDF	Nonlinear shape statistics, nonlinear density estimation, shape learning, variational methods, kernel PCA, Mercer kernels
46	Tetsuji Ogawa, Miki Haseyama	Kernel PCA-based resolution enhancement approach of still images using different levels of pyramid structure.	ICASSP	2008	DBLP DOI BibTeX RDF
46	Murat Ekinci, Murat Aykut	Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA.	MLDM	2007	DBLP DOI BibTeX RDF
46	Robert Jenssen, Ola Storås	Kernel Entropy Component Analysis Pre-images for Pattern Denoising.	SCIA	2009	DBLP DOI BibTeX RDF
46	L. Guo, G. M. Dong, J. Chen, Y. Zhu, Y. N. Pan	Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component.	ISNN (1)	2008	DBLP DOI BibTeX RDF	wavelet kernel, rotating machinery, fault diagnosis, Kernel PCA
46	Weilin Huang, Hujun Yin	Nonlinear Dimensionality Reduction for Face Recognition.	IDEAL	2009	DBLP DOI BibTeX RDF
46	Seungjin Choi	Wake-Sleep PCA.	IJCNN	2007	DBLP DOI BibTeX RDF
45	Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola	Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method.	ICA	2004	DBLP DOI BibTeX RDF
42	Daniel Cremers, Timo Kohlberger, Christoph Schnörr	Nonlinear Shape Statistics in Mumford-Shah Based Segmentation.	ECCV (2)	2002	DBLP DOI BibTeX RDF	shape learning, nonlinear statistics, probabilistic kernel PCA, Segmentation, variational methods, density estimation, Mercer kernels
42	Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux	Learning Manifolds in Forensic Data.	ICANN (2)	2006	DBLP DOI BibTeX RDF
42	Guang-Ho Cha	Kernel Principal Component Analysis for Content Based Image Retrieval.	PAKDD	2005	DBLP DOI BibTeX RDF
41	Darryl Charles, Colin Fyfe	Kernel Factor Analysis with Varimax Rotation.	IJCNN (3)	2000	DBLP DOI BibTeX RDF
40	Nicolas Thorstensen, Florent Ségonne, Renaud Keriven	Normalization and preimage problem in gaussian kernel PCA.	ICIP	2008	DBLP DOI BibTeX RDF
40	Carlos Alzate, Johan A. K. Suykens	A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.	IJCNN	2006	DBLP DOI BibTeX RDF
40	Deli Zhao, Zhouchen Lin, Xiaoou Tang	Laplacian PCA and Its Applications.	ICCV	2007	DBLP DOI BibTeX RDF
39	Baback Moghaddam	Principal Manifolds and Probabilistic Subspaces for Visual Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	Subspace techniques, learning, face recognition, PCA, ICA, density estimation, Kernel PCA, Probabilistic PCA
38	Sanparith Marukatat	Tutorial on PCA and approximate PCA and approximate kernel PCA.	Artif. Intell. Rev.	2023	DBLP DOI BibTeX RDF
38	Weida Zhou, Li Zhang 0004, Licheng Jiao	Hidden Space Principal Component Analysis.	PAKDD	2006	DBLP DOI BibTeX RDF
38	Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou	Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
37	Hau-San Wong, Bo Ma 0001, Yang Sha, Horace Ho-Shing Ip	Hierarchical Indexing for 3D Head Model Retrieval Based on Kernel PCA.	IV	2005	DBLP DOI BibTeX RDF
37	Takashi Takahashi, Takio Kurita	Robust De-noising by Kernel PCA.	ICANN	2002	DBLP DOI BibTeX RDF
37	Tat-Jun Chin, Konrad Schindler, David Suter	Incremental Kernel SVD for Face Recognition with Image Sets.	FGR	2006	DBLP DOI BibTeX RDF
36	Namrata Vaswani, Rama Chellappa	Principal Components Null Space Analysis for Image and Video Classification.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
33	Saad Ali, Mubarak Shah	A Supervised Learning Framework for Generic Object Detection in Images.	ICCV	2005	DBLP DOI BibTeX RDF
33	David C. Hoyle, Magnus Rattray	A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra.	COLT	2004	DBLP DOI BibTeX RDF
33	Byung-Joo Kim	Active Visual Learning and Recognition Using Incremental Kernel PCA.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
33	Gabriel Jarillo, Witold Pedrycz, Marek Z. Reformat	Aggregation of classifiers based on image transformations in biometric face recognition.	Mach. Vis. Appl.	2008	DBLP DOI BibTeX RDF	FERET, YALE, Decision theory, Bayesian, Kernel-PCA, Eigenfaces, Isomap, Fisherfaces
32	Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum	A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF
29	Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas	Class-Specific Kernel-Discriminant Analysis for Face Verification.	IEEE Trans. Inf. Forensics Secur.	2007	DBLP DOI BibTeX RDF
28	Nan Liu 0003, Han Wang 0001	Feature Extraction with Genetic Algorithms Based Nonlinear Principal Component Analysis for Face Recognition.	ICPR (3)	2006	DBLP DOI BibTeX RDF
27	Christian Callegari, Lisa Donatini, Stefano Giordano, Michele Pagano	Improving stability of PCA-based network anomaly detection by means of kernel-PCA.	Int. J. Comput. Sci. Eng.	2018	DBLP DOI BibTeX RDF
27	David C. Hoyle, Magnus Rattray	Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA.	NIPS	2003	DBLP BibTeX RDF
27	Hongfang Wang, Edwin R. Hancock	A Kernel View of Spectral Point Pattern Matching.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
27	Bernhard Schölkopf, Klaus-Robert Müller, Alexander J. Smola	Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten.	Inform. Forsch. Entwickl.	1999	DBLP DOI BibTeX RDF	Maschinelles Lernen, Klassifikation, Mustererkennung, Merkmalsextraktion, Neuronale Netze, Kernmethoden, Ziffernerkennung, Zeitreihenprognose, Data Mining, Regression
27	Takahiro Ogawa 0001, Miki Haseyama	Kernel PCA-based semantic feature estimation approach for similar image retrieval.	ICIP	2008	DBLP DOI BibTeX RDF
26	Fernando De la Torre, Minh Hoai Nguyen	Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment.	CVPR	2008	DBLP DOI BibTeX RDF
24	Antoni B. Chan, Nuno Vasconcelos	Classifying Video with Kernel Dynamic Textures.	CVPR	2007	DBLP DOI BibTeX RDF
24	Roland Vollgraf, Klaus Obermayer	Sparse Optimization for Second Order Kernel Methods.	IJCNN	2006	DBLP DOI BibTeX RDF
23	Raphael Tari Samuel, Yi Cao	Fault detection in a multivariate process based on kernel PCA and kernel density estimation.	ICAC	2014	DBLP DOI BibTeX RDF
23	Hongwei Liu 0001, Hongtao Su, Zheng Bao 0001	Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA.	ISNN (1)	2005	DBLP DOI BibTeX RDF
23	Brian Mak, Simon Ka-Lung Ho, James T. Kwok	Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA.	INTERSPEECH	2004	DBLP DOI BibTeX RDF
23	Robert Jenssen	Kernel Entropy Component Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	Spectral data transformation, pattern denoising, clustering, kernel PCA, Parzen windowing, Renyi entropy
23	Murat Aykut, Murat Ekinci	Kernel Principal Component Analysis of Gabor Features for Palmprint Recognition.	ICB	2009	DBLP DOI BibTeX RDF	Biometrics, Gabor-wavelet, Kernel PCA, Palmprint recognition
23	WenAn Chen, Hongbin Zhang 0009	The Condition of Kernelizing an Algorithm and an Equivalence Between Kernel Methods.	IbPRIA (1)	2007	DBLP DOI BibTeX RDF	Kernelization, Kernel PCA, Equivalence Relation
23	Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier James Lien	Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets.	ACCV (2)	2007	DBLP DOI BibTeX RDF	canonical angles, kernel Fisher discriminant (KFD), kernel discriminant transformation (KDT), Face recognition, kernel method, kernel PCA
22	Hau-San Wong, Bo Ma 0001, Zhiwen Yu 0002, Pui Fong Yeung, Horace Ho-Shing Ip	3-D Head Model Retrieval Using a Single Face View Query.	IEEE Trans. Multim.	2007	DBLP DOI BibTeX RDF
21	Tat-Jun Chin, David Suter	Out-of-Sample Extrapolation of Learned Manifolds.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF
21	Craig Saunders, Anthony A. Demco	Kernels for Strings and Graphs.	Perspectives of Neural-Symbolic Integration	2007	DBLP DOI BibTeX RDF
21	Kazuhiro Fukui, Osamu Yamaguchi	The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition.	ACCV (2)	2007	DBLP DOI BibTeX RDF
21	Yixiong Liang, Weiguo Gong, Weihong Li, Yingjun Pan	Face Recognition Using Heteroscedastic Weighted Kernel Discriminant Analysis.	ICAPR (2)	2005	DBLP DOI BibTeX RDF
21	Yuanjian Feng, Pengfei Shi	Face Detection Based on Kernel Fisher Discriminant Analysis.	FGR	2004	DBLP DOI BibTeX RDF	kernel based Fisher discriminant, Face detection, LDA, kernel based method
21	Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola	Input space versus feature space in kernel-based methods.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
20	Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens	Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering.	ICANN (2)	2009	DBLP DOI BibTeX RDF
20	Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas	Minimum Class Variance Support Vector Machines.	IEEE Trans. Image Process.	2007	DBLP DOI BibTeX RDF
20	Thomas Melzer, Michael Reiter, Horst Bischof	Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis.	ICANN	2001	DBLP DOI BibTeX RDF
17	Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse	Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
17	Murat Ekinci, Murat Aykut	A Novel Approach for Automatic Palmprint Recognition.	Canadian AI	2007	DBLP DOI BibTeX RDF
17	Asanobu Kitamoto	Typhoon Analysis and Data Mining with Kernel Methods.	SVM	2002	DBLP DOI BibTeX RDF
17	Kun Fang 0004, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang	Kernel PCA for Out-of-Distribution Detection.	CoRR	2024	DBLP DOI BibTeX RDF
17	Mitja Briscik, Marie-Agnès Dillies, Sébastien Déjean	Improvement of variables interpretability in kernel PCA.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
17	Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön	Invertible Kernel PCA With Random Fourier Features.	IEEE Signal Process. Lett.	2023	DBLP DOI BibTeX RDF
17	Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens	Multi-view kernel PCA for time series forecasting.	Neurocomputing	2023	DBLP DOI BibTeX RDF
17	Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens	Multi-view Kernel PCA for Time series Forecasting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yichuan Deng 0002, Zhao Song 0002, Zifan Wang, Han Zhang 0037	Streaming Kernel PCA Algorithm With Small Space.	CoRR	2023	DBLP DOI BibTeX RDF
17	Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens	Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.	CoRR	2023	DBLP DOI BibTeX RDF
17	Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön	Invertible Kernel PCA with Random Fourier Features.	CoRR	2023	DBLP DOI BibTeX RDF
17	Toshihiro Kita, Kahori Ogashiwa, Noriko Asamoto	Visualizing Differences in Spreadsheet Formulas Written by Information Literacy Learners Using Levenshtein Distance and Kernel PCA.	IIAI-AAI	2023	DBLP DOI BibTeX RDF
17	Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens	Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.	ICML	2023	DBLP BibTeX RDF
17	Nicholas Sterge, Bharath K. Sriperumbudur	Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
17	Andreas A. Ioannides, Constantinos Kourouyiannis, Christodoulos Karittevlis, Lichan Liu, Ioannis Michos, Michalis Papadopoulos, Evangelos Papaefthymiou, Orestis Pavlou, Vicky Papadopoulou Lesta, Andreas Efstathiou	A unified framework for analyzing complex systems: Juxtaposing the (Kernel) PCA method and graph theory.	Frontiers Appl. Math. Stat.	2022	DBLP DOI BibTeX RDF
17	Chen Wu 0003, Hongruixuan Chen, Bo Du 0001, Liangpei Zhang 0001	Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network.	IEEE Trans. Cybern.	2022	DBLP DOI BibTeX RDF
17	Marco Avella-Medina, Richard A. Davis, Gennady Samorodnitsky	Kernel PCA for multivariate extremes.	CoRR	2022	DBLP DOI BibTeX RDF
17	Fan He, Ruikai Yang, Lei Shi 0010, Xiaolin Huang	A Decentralized Framework for Kernel PCA with Projection Consensus Constraints.	CoRR	2022	DBLP DOI BibTeX RDF
17	Anh Ho, Nguyen Nhat Hai, Bui Thi Mai Anh	Combining Deep Learning and Kernel PCA for Software Defect Prediction.	SoICT	2022	DBLP DOI BibTeX RDF
17	Zahra Yahyaoui, Mansour Hajji, Majdi Mansouri, Kais Bouzrara, Hazem N. Nounou, Mohamed N. Nounou	Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems.	CoDIT	2022	DBLP DOI BibTeX RDF
17	Ayyad Maafiri, Khalid Chougdali	Robust face recognition based on a new Kernel-PCA using RRQR factorization.	Intell. Data Anal.	2021	DBLP DOI BibTeX RDF
17	Zelin Ren, Xuebing Yang, Yuchen Jiang, Wensheng Zhang 0002	Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization.	CoRR	2021	DBLP BibTeX RDF
17	David Winant, Joachim Schreurs, Johan A. K. Suykens	Latent Space Exploration Using Generative Kernel PCA.	CoRR	2021	DBLP BibTeX RDF
17	Nicholas Sterge, Bharath K. Sriperumbudur	Statistical Optimality and Computational Efficiency of Nyström Kernel PCA.	CoRR	2021	DBLP BibTeX RDF
17	Fredrik Hallgren	Kernel PCA with the Nyström method.	CoRR	2021	DBLP BibTeX RDF
17	Nawin Najat Mohammed, Chewan Jalal Mohammed	Enhanced Determination of Gene Groups Based on Optimal Kernel PCA with Hierarchical Clustering Algorithm.	CISS	2021	DBLP DOI BibTeX RDF