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A deep learning approach to multiple kernel fusion

Published on Mar 1, 2017 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
· DOI :10.1109/ICASSP.2017.7952565
Huan Song4
Estimated H-index: 4
(ASU: Arizona State University),
Jayaraman J. Thiagarajan14
Estimated H-index: 14
(LLNL: Lawrence Livermore National Laboratory)
+ 2 AuthorsAndreas Spanias28
Estimated H-index: 28
(ASU: Arizona State University)
Abstract
Kernel fusion is a popular and effective approach for combining multiple features that characterize different aspects of data. Traditional approaches for Multiple Kernel Learning (MKL) attempt to learn the parameters for combining the kernels through sophisticated optimization procedures. In this paper, we propose an alternative approach that creates dense embeddings for data using the kernel similarities and adopts a deep neural network architecture for fusing the embeddings. In order to improve the effectiveness of this network, we introduce the kernel dropout regularization strategy coupled with the use of an expanded set of composition kernels. Experiment results on a real-world activity recognition dataset show that the proposed architecture is effective in fusing kernels and achieves state-of-the-art performance.
  • References (25)
  • Citations (8)
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#1Huan Song (ASU: Arizona State University)H-Index: 4
#2Jayaraman J. Thiagarajan (LLNL: Lawrence Livermore National Laboratory)H-Index: 14
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
view all 4 authors...
2 CitationsSource
Mar 1, 2016 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Huan Songg (ASU: Arizona State University)H-Index: 1
#2Jayaraman J. Thiagarajan (LLNL: Lawrence Livermore National Laboratory)H-Index: 14
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5 CitationsSource
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4 CitationsSource
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12 CitationsSource
#1Jayaraman J. Thiagarajan (ASU: Arizona State University)H-Index: 14
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52 CitationsSource
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#1Huan Song (ASU: Arizona State University)H-Index: 4
#2Jayaraman J. Thiagarajan (LLNL: Lawrence Livermore National Laboratory)H-Index: 14
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
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#1Artur Jordao (UFMG: Universidade Federal de Minas Gerais)H-Index: 2
#2Leonardo A. B. Tôrres (UFMG: Universidade Federal de Minas Gerais)H-Index: 18
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#2Fatih OzkanH-Index: 3
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2 Citations
#1Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
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