Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Cheng-Yuan Liou"'
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783030147983
ACIIDS (1)
ACIIDS (1)
This work presents a locking and deforming process to accomplish the recognition. The best matched features of the template are locked to their target features of the unknown pattern. The whole template is then deformed and calibrated according to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8851110aef529328a4e874b590d158
https://doi.org/10.1007/978-3-030-14799-0_49
https://doi.org/10.1007/978-3-030-14799-0_49
Publikováno v:
Complexity. 21:263-268
This work shows how to measure composer style's comprehensiveness by performing measurements on Barlow and Morgenstern dictionary of 10, 000 classical themes. This measure can partially reveal the degree of complexity of works by Mozart as well as ma
Publikováno v:
2016 International Conference on Computational Science and Computational Intelligence (CSCI).
Since the kernel function in support vector machine is arbitrary, it carries no physical meaning in practical applications. This work presents a bi-perceptron network that works in real physical space. All network parameters can be obtained in a cons
Publikováno v:
Knowledge-Based Systems
We report the discovery of strong correlations between protein coding regions and the prediction errors when using the simple recurrent network to segment genome sequences. We are going to use SARS genome to demonstrate how we conduct training and de
Publikováno v:
Frontiers of Electrical and Electronic Engineering in China. 6:181-189
This paper presents a study on the hierarchical modular system (HMS). It shows how to generate the HMS by using the principle of extreme physical information. It also discusses the equal temperament music scale that has many shared properties with th
Autor:
Cheng-Yuan Liou, Wei-Chen Cheng
Publikováno v:
Memetic Computing
This paper presents a distance invariant manifold that preserves the neighborhood relations among data patterns. All patterns have their corresponding cells in the manifold space. The constellation of neighborhood cells closely resembles that of patt
Publikováno v:
Neurocomputing. 71:3140-3149
This paper presents a new mapping to construct the self-organizing map on the curved seamless surface. This mapping is developed for the planar triangle surface derived from the conformal self-organizing map [C.-Y. Liou, Y.-T. Kuo, Conformal self-org
Publikováno v:
Neurocomputing. 71:3150-3157
This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network. Experiments per
Autor:
Cheng-Yuan Liou, B.R. Musicus
Publikováno v:
IEEE Transactions on Signal Processing. 56:3362-3367
We apply two variations of the principle of minimum cross entropy (the Kullback information measure) to fit parameterized probability density models to observed data densities. For an array beamforming problem with P incident narrowband point sources
Autor:
Cheng-Yuan Liou, Shiao-Lin Lin
Publikováno v:
Natural Computing. 5:15-42
This paper presents a method to expand the basins of stable patterns in associative memory. It examines fully-connected associative memory geometrically and translate the learning process into an algebraic optimization procedure. It finds that locati