Search

Your search keyword '"Kubota, Ryosuke"' showing total 48 results
Start Over Author "Kubota, Ryosuke"
48 results on '"Kubota, Ryosuke"'

1. A Color Quantization Based on Vector Error Diffusion and Particle Swarm Optimization Considering Human Visibility

Author

Kubota, Ryosuke, Tamukoh, Hakaru, Kawano, Hideaki, Suetake, Noriaki, Cha, Byungki, Aso, Takashi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bräunl, Thomas, editor, McCane, Brendan, editor, Rivera, Mariano, editor, and Yu, Xinguo, editor

Published
2016
Full Text
View/download PDF

23. A Modified Real-Coded Genetic Algorithm Considering with Fitness-based Variability

Author

Ueda, Yoshiaki, Horio, Keiichi, and Kubota, Ryosuke

Subjects
Genetic algorithm, Mutation, Real-coded genetic algorithm, Genetic diversity, Variability operator
Abstract

A genetic algorithm (GA) is a search algorithm based on the mechanism of natural genetics. In various GAs, a real-coded GA (RCGA) employing individuals represented by real valued-genes has been proposed to solve the optimization problem in the continuous searching space. However, the conventional RCGA yields ineffective searches due to insufficient genetic diversity in the selection process. In this paper, we propose a modified RCGA with variability operator maintaining the genetic diversity of the population. In the proposed method, a variability term is newly added to the individuals selected by the ordinary selection. The degree of the variability is decided considering the fitness value of the individual. The searching performance of the proposed method is better than the conventional methods. The effectiveness and the validity of the proposed method are verified by applying it to optimization problems of continuous benchmark functions and signal sources localization.

Published
2014

46. Fuzzy Rule-based Boundary Extraction of Plaque in Intravascular Ultrasound Image.

Author

Kubota, Ryosuke, Ichiyama, Shohei, Suetake, Noriaki, Uchino, Eiji, Hashimoto, Genta, Hiro, Takafumi, and Matsuzaki, Masunori

Subjects
FUZZY systems, FEATURE extraction, ATHEROSCLEROTIC plaque, INTRAVASCULAR ultrasonography, POLYNOMIALS, LEAST squares, ITERATIVE methods (Mathematics)
Abstract

In this paper, we propose a fuzzy rulebased boundary extraction method for a plaque in an intravascular ultrasound (IVUS) image. In the present method, a plaque boundary to be extracted is piecewise approximated by the polynomials inferred by fuzzy rules. The coefficients of the polynomials are determined by the weighted least square method using the separability measure obtained from the IVUS image. The proposed method achieves a precise and noise-robust extraction of the plaque with use of a small number of seed points and without any timeconsuming iterative processes. The validity and the effectiveness of the proposed method have been confirmed by applying it to the boundary extraction problem of the plaque in the IVUS image. [ABSTRACT FROM AUTHOR]

Published
2008

47. Feature Extraction and Signal Reconstruction of Air and Bone Conduction Voices by Independent Component Analysis.

Author

Azetsu, Tadahiro, Uchino, Eiji, Kubota, Ryosuke, and Suetake, Noriaki

Subjects
FEATURE extraction, SIGNAL processing, BONE conduction, TIME-domain analysis, DATA compression
Abstract

We discuss in this paper the feature extraction and signal reconstruction of air and bone conduction voices in the time domain by applying the independent component analysis (ICA). The basis functions of the air and bone conduction voices extracted by applying ICA are shown first, and then the quality of the signal reconstruction by using several of those basis functions is investigated from the signal compression viewpoint. [ABSTRACT FROM AUTHOR]

Published
2008

Catalog

Books, media, physical & digital resources
See catalog results