Interactive EC-based Signal Processing

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Takagi:2002:SEAL,

• author = "Hideyuki Takagi and Norimasa Hayashida",
• booktitle = "Simulated Evolution And Learning (SEAL), 2002, the 4th Asia-Pacific Conference on",
• title = "Interactive {EC}-based Signal Processing",
• year = "2002",
• pages = "375--379",
• address = "Singapore",
• month = nov # " 18-22",
• keywords = "genetic algorithms, genetic programming",
• URL = "https://catalog.lib.kyushu-u.ac.jp/opac_download_md/1670073/SEAL2002_4.pdf",
• URL = "https://www.researchgate.net/publication/228945588_Interactive_ec-based_signal_processing",
• URL = "http://hdl.handle.net/2324/1670073",
• size = "5 pages",
• abstract = "We introduce new types of signal processing for which the characteristics of the signal processing filters are designed automatically by interactive evolutionary computation (IEC) based on human perception, such as hearing or vision. We first describe our existing works that use this approach, such as recovering distorted speech and hearing-aid fitting, as well as other related works in this field. Next, we evaluate the capabilities of visual-based image signal processing using IEC and compare it with conventional linear filters for the tasks of edge detection, high pass filtering, and horizontal / vertical component filtering. The experimental comparisons show that the performances of both methods are similar, which means that the new approach, without a priori knowledge on signal processing, is useful when signal processing users are not signal processing experts such as is the case in medical image processing or photo-retouch design.",
• notes = "Details from 1st author July 2019. SEAL-2002_all_pap.htm",

}

Genetic Programming entries for Hideyuki Takagi Norimasa Hayashida

Citations