Zobrazeno 1 - 10 of 29 pro vyhledávání: '"Tadaaki Hosaka"'
2
Bankruptcy prediction using imaged financial ratios and convolutional neural networks
Autor: Tadaaki Hosaka
Publikováno v: Expert Systems with Applications. 117:287-299
Convolutional neural networks are being applied to identification problems in a variety of fields, and in some areas are showing higher discrimination accuracies than conventional methods. However, applications of convolutional neural networks to fin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01d3a74aacb97f72e4bebf54b4a2461c
https://doi.org/10.1016/j.eswa.2018.09.039
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3
Effects of parity, frustration, and stochastic fluctuations on integrated information of consciousness for networks with two small-sized loops
Autor: Tadaaki Hosaka
Background: Integrated Information Theory (IIT) has been attracting attention as a theory of consciousness. The latest version, IIT3.0, is still at the stage of accumulating knowledge concerning fundamental networks. This paper presents an evaluation
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6f23872d5492563b411d4719026379fe
https://doi.org/10.21203/rs.3.rs-385815/v1
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5
Compressive multi-spectral imaging using self-correlations of images based on hierarchical joint sparsity models
Autor: Takayuki Hamamoto, Tadaaki Hosaka, Masaru Tomabechi, Daisuke Sugimura
Publikováno v: Machine Vision and Applications. 27:499-510
We propose a novel multi-spectral imaging method based on compressive sensing (CS). In CS theory, the enhancement of signal sparsity is important for accurate signal reconstruction. The main novelty of the proposed method is the employment of a self-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d360cd5614b7b13d7f499197f5bde9cb
https://doi.org/10.1007/s00138-016-0761-y
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10
Image matting based on local color discrimination by SVM
Autor: Nobuyuki Otsu, Takumi Kobayashi, Tadaaki Hosaka
Publikováno v: Pattern Recognition Letters. 30:1253-1263
Image matting is a technique used for extracting a foreground object in a static image by estimating the opacity, called alpha matte, at each pixel in the foreground image layer. The common drawback of the previous matting approaches is the decrease
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db19441254851fd0af5369e52d9095ee
https://doi.org/10.1016/j.patrec.2009.06.011
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