性冷淡
发表于 2025-3-30 10:33:14
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消极词汇
发表于 2025-3-30 14:15:08
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Aerate
发表于 2025-3-30 18:58:08
Pekka J. Korhonen,Aapo Siljamäkirameters of a local affine transformation associated with each neuron are updated by an evolutionary algorithm and used to map each template’s keypoint in the previous frame to the current one. Computer simulations indicate that the proposed approach presents better results than those obtained by a direct method approach.
词汇表
发表于 2025-3-30 22:11:32
Mahmoud Seyedsadr,Paul L. Corneliusihood function to the pairwise-based measures. Our method can extend any clustering measure based on set or pairwise of data points. The present paper examined the topographic component of the extended measure and revealed an appropriate neighborhood radius of the topographic measures.
Adherent
发表于 2025-3-31 03:40:45
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CROW
发表于 2025-3-31 08:32:09
Fiona K. Hamey,Berthold Göttgensl that users have the possibility of interactively investigating the data set. This work provides an overview of state-of-the-art software tools for SOM-based visual data exploration. We discuss the functionality of software for specialized data sets, as well as for arbitrary data sets with a focus on interactive data exploration.
Melodrama
发表于 2025-3-31 09:58:40
Sparse Functional Relevance Learning in Generalized Learning Vector Quantization set of basis functions depending on only a few parameters compared to standard relevance learning. Moreover, the sparsity of the superposition is achieved by an entropy based penalty function forcing sparsity.
清真寺
发表于 2025-3-31 13:54:14
Relevance Learning in Unsupervised Vector Quantization Based on Divergencesen vector quantization cost function. We consider several widely used models including the neural gas algorithm, the Heskes variant of self-organizing maps and the fuzzy c-means. We apply the relevance learning scheme for divergence based similarity measures between prototypes and data vectors in the vector quantization schemes.
Libido
发表于 2025-3-31 20:19:27
https://doi.org/10.1007/978-3-642-21566-7ANN; SOM algorithms; bioinspired computing; computational intelligence; natural computing; neural network
deactivate
发表于 2025-3-31 22:22:36
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