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Efficient Similarity Derived from Kernel-Based Transition ...
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由 T Kobayashi 著作2012被引用 4 次 — In this paper, we propose methods to construct similarities from the probabilistic viewpoint, whilst the similarities have so far been formulated in a heuristic ...
Efficient Similarity Derived from Kernel-Based Transition ...
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由 T Kobayashi 著作被引用 4 次 — In this paper, we pro- pose methods to construct similarities from the probabilistic viewpoint, whilst the similarities have so far been formulated in a ...
Kernel-based transition probability toward similarity ...
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由 T Kobayashi 著作2014被引用 13 次 — The kernel-based transition probability is by nature favorably sparse even without applying k-NN and induces the similarity measure of the same characteristics.
Kernel-based transition probability toward similarity ...
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由 T Kobayashi 著作2014被引用 13 次 — We propose a computationally efficient method to optimize the weights in a discriminative manner. The optimized weights contribute to a composite similarity ...
Efficient Similarity Derived from Kernel-Based Transition ...
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In the various experiments on semi-supervised learning problems, the proposed methods demonstrate favorable performances, compared to the other methods, in ...
Efficient Similarity Derived from Kernel-Based Transition ...
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Efficient Similarity Derived from Kernel-Based Transition Probability. Takumi Kobayashi Nobuyuki Otsu. Published in: ECCV (6) (2012). Keyphrases.
Kernel-based transition probability toward similarity measure for ...
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This paper proposes a Laplacian embedded infinite kernel regression (LapEIKR) model that combines the multiple kernels linearly to improve its ability of ...
Kernel-based transition probability toward similarity measure ...
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由 T Kobayashi 著作2014被引用 13 次 — The kernel-based transition probability is by nature favorably sparse even without applying k-NN and induces the similarity measure of the same characteristics.
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Kernel discriminant analysis for environmental sound recognition based ... Efficient Similarity Derived from Kernel-Based Transition Probability · hmtl ...
Nobuyuki Otsu's research works | National Institute of ...
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The similarities are consequently derived from the kernel-based transition probabilities which are efficiently computed, and the similarities are inherently ...