Optimal feature representation for kernel machines using kernel-target alignment criterion

被引：0
|
作者：
Pothin, Jean-Baptiste [1 ]
Richard, Cedric [1 ]
机构：
[1] Univ Technol Troyes, Inst Charles Delaunay, ICD M2S FRE 2848, CNRS, 12 Rue Marie Curie,BP 2060, F-10010 Troyes, France
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年
关键词：
pattern classification; alignment; SVM;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Kernel-target alignment is commonly used to predict the behavior of any given reproducing kernel in a classification context, without training any kernel machine. In this paper, we present a gradient ascent algorithm for maximizing the alignment over linear transform of the input space. Our method is compared to the minimization of the radius-margin bound. Experimental results on multi-dimensional benchmarks show the effectiveness of our approach.
引用
收藏
页码：1065 / +
页数：2
相关论文
共 50 条
  • [1] On kernel-target alignment
    Cristianini, N
    Shawe-Taylor, J
    Elisseeff, A
    Kandola, J
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 14, VOLS 1 AND 2, 2002, 14 : 367 - 373
  • [2] LS-SVM based intrusion detection using kernel space approximation and kernel-target alignment
    Gao, Haihua
    Wang, Xingyu
    Yang, Huihua
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4214 - +
  • [3] A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment
    M. Pérez-Ortiz
    P. A. Gutiérrez
    J. Sánchez-Monedero
    C. Hervás-Martínez
    Neural Processing Letters, 2016, 44 : 491 - 517
  • [4] A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment
    Perez-Ortiz, M.
    Gutierrez, P. A.
    Sanchez-Monedero, J.
    Hervas-Martinez, C.
    NEURAL PROCESSING LETTERS, 2016, 44 (02) : 491 - 517
  • [5] Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine
    He, Qiang
    Zhang, Qingshuo
    Wang, Hengyou
    2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 2083 - 2088
  • [6] Optimal selection of time-frequency representations for signal classification:: A kernel-target alignment approach
    Honeine, Paul
    Richard, Cedric
    Flandrin, Patrick
    Pothin, Jean-Baptiste
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 2927 - 2930
  • [7] An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment
    Shen, Jian
    Zhang, Xiaowei
    Huang, Xiao
    Wu, Manxi
    Gao, Jin
    Lu, Dawei
    Ding, Zhijie
    Hu, Bin
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (07) : 2545 - 2556
  • [8] OPTIMIZING KERNEL-TARGET ALIGNMENT FOR CLOUD DETECTION IN MULTISPECTRAL SATELLITE IMAGES
    Miroszewski, Artur
    Mielczarek, Jakub
    Szczepanek, Filip
    Czelusta, Grzegorz
    Grabowski, Bartosz
    Le Saux, Bertrand
    Nalepa, Jakub
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 792 - 795
  • [9] Kernel-target alignment based non-linear metric learning
    Xu, Yonghui
    Miao, Chunyan
    Liu, Yong
    Song, Hengjie
    Hu, Yi
    Min, Huaqing
    NEUROCOMPUTING, 2020, 411 (411) : 54 - 66
  • [10] Representation of a Fisher Criterion Function in a Kernel Feature Space
    Lee, Sang Wan
    Bien, Zeungnam
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (02): : 333 - 339
12345