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Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning 由 Thibaud Sénéchal, Valerie. Rapp, Hanan Salam, Renaud Séguier, Kévin Bailly, Lionel Prévost

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Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine 由 Shao‐Wu Zhang, Liyang Hao, Tinghe Zhang

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Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis 由 Lisha Chen, Andreas Buja

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AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR MACHINE 由 Yudong Zhang, Lenan Wu

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Effective Dysphonia Detection Using Feature Dimension Reduction and Kernel Density Estimation for Patients with Parkinson’s Disease 由 Shanshan Yang, Fang Zheng, Xin Luo, Suxian Cai, Yunfeng Wu, Kaizhi Liu, Meihong Wu, Jian Chen, Sridhar Krishnan

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Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD 由 Gagan Sidhu, Nasimeh Asgarian, Russell Greiner, Matthew Brown

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One-class kernel subspace ensemble for medical image classification 由 Yungang Zhang, Bailing Zhang, Frans Coenen, Jimin Xiao, Wenjin Lu

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A tree kernel to analyse phylogenetic profiles 由 Jean‐Philippe Vert

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Marginalized kernels for biological sequences 由 Koji Tsuda, Taishin Kin, Kiyoshi Asai

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CLASSIFICATION OF ALZHEIMER DISEASE BASED ON STRUCTURAL MAGNETIC RESONANCE IMAGING BY KERNEL SUPPORT VECTOR MACHINE DECISION TREE 由 Yudong Zhang, Shuihua Wang‎, Zhengchao Dong

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Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data 由 Christoph Bartenhagen, Hans‐Ulrich Klein, Christian Rückert, Xiaoyi Jiang, Martin Dugas

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Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction 由 Nathalie Pochet, Frank De Smet, Johan A. K. Suykens, Bart L. R. De Moor

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High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data 由 Wei Du, Vince D. Calhoun, Hualiang Li, Sai Ma, Tom Eichele, Kent A. Kiehl, Godfrey D. Pearlson, Tülay Adalı

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Gene Expression Data Classification With Kernel Principal Component Analysis 由 Zhenqiu Liu, Dechang Chen, Halima Bensmail

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Acoustic analysis assessment in speech pathology detection 由 Daria Panek, Andrzej Skalski, Janusz Gajda, Ryszard Tadeusiewicz

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Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression 由 Shuihua Wang, Tianming Zhan, Yi Chen, Yin Zhang⋆, Ming Yang, Huimin Lu, Hainan Wang, Bin Liu, Preetha Phillips

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Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component Analysis Based on Minimum Spann... 由 Xiaohong Cui, Jie Xiang, Hao Guo, Guimei Yin, Huijun Zhang, Fangpeng Lan, Junjie Chen

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Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet 由 Yuka Shiokawa, Yasuhiro Date, Jun Kikuchi

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Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble 由 Habib Ullah, Muhammad Uzair, Arif Mahmood, Mohib Ullah, Sultan Daud Khan, Faouzi Alaya Cheikh

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A combination of CSP-based method with soft margin SVM classifier and generalized RBF kernel for imagery-based brain computer interface applications 由 Amin Hekmatmanesh, Huapeng Wu, Fatemeh Jamaloo, Ming Li, Heikki Handroos

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