Presentation | 2014-07-11 Design of Sparse Dictionary Consisting of Multiple Kernels for Kernel Adaptive Filtering Taichi ISHIDA, Toshihisa TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. Its extension is a multi-kernel adaptive filter that uses multiple kernels to improve generalization ability in estimation of unknown systems. This paper focuses on the fact that the multi-kernel adaptive filter adopts input signals for dictionary in spite of using multiple kernels. Based on this, we propose a novel dictionary construction method focused on individual kernel. Numerical examples show the efficiency of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Kernel adaptive filter / Multikernel / Reproducing kernel Hilbert space |
Paper # | CAS2014-35,VLD2014-44,SIP2014-56,MSS2014-35,SIS2014-35 |
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Committee | MSS |
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Conference Date | 2014/7/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mathematical Systems Science and its applications(MSS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Design of Sparse Dictionary Consisting of Multiple Kernels for Kernel Adaptive Filtering |
Sub Title (in English) | |
Keyword(1) | Kernel adaptive filter |
Keyword(2) | Multikernel |
Keyword(3) | Reproducing kernel Hilbert space |
1st Author's Name | Taichi ISHIDA |
1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology() |
2nd Author's Name | Toshihisa TANAKA |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
Date | 2014-07-11 |
Paper # | CAS2014-35,VLD2014-44,SIP2014-56,MSS2014-35,SIS2014-35 |
Volume (vol) | vol.114 |
Number (no) | 125 |
Page | pp.pp.- |
#Pages | 6 |
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