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Wyszukujesz frazę "Lee, J. C." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
Autorzy:
Chang, Y. F.
Lee, J. C.
Mohd Rijal, O.
Syed Abu Bakar, S. A. R.
Powiązania:
https://bibliotekanauki.pl/articles/908140.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
2D
współczynnik determinacji
rozpoznawanie
pismo odręczne
pismo chińskie
falka Haara
model relacyjny
2D functional classifier
coefficient of determination
handwritten Chinese character recognition
Haar wavelet
multidimensional functional relationship model
Opis:
This paper presents novel feature extraction and classification methods for online handwritten Chinese character recognition (HCCR). The X-graph and Y-graph transformation is proposed for deriving a feature, which shows useful properties such as invariance to different writing styles. Central to the proposed method is the idea of capturing the geometrical and topological information from the trajectory of the handwritten character using the X-graph and the Y-graph. For feature size reduction, the Haar wavelet transformation was applied on the graphs. For classification, the coefficient of determination [...] from the two-dimensional unreplicated linear functional relationship model is proposed as a similarity measure. The proposed methods show strong discrimination power when handling problems related to size, position and slant variation, stroke shape deformation, close resemblance of characters, and non-normalization. The proposed recognition system is applied to a database with 3000 frequently used Chinese characters, yielding a high recognition rate of 97.4% with reduced processing time of 75.31%, 73.05%, 58.27% and 40.69% when compared with recognition systems using the city block distance with deviation (CBDD), the minimum distance (MD), the compound Mahalanobis function (CMF) and the modified quadratic discriminant function (MQDF), respectively. High precision rates were also achieved.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2010, 20, 4; 727-738
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System Identification from Multiple-Trial Data Corrupted by Non-Repeating Periodic Disturbances
Autorzy:
Phan, M. Q.
Longman, R. W.
Lee, S. C.
Lee, J. W.
Powiązania:
https://bibliotekanauki.pl/articles/908209.pdf
Data publikacji:
2003
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
automatyka
robotyka
system identification
disturbance identification
iterative learning control
repetitive control
interaction matrix
Opis:
Iterative learning and repetitive control aim to eliminate the effect of unwanted disturbances over repeated trials or cycles. The disturbance-free system model, if known, can be used in a model-based iterative learning or repetitive control system to eliminate the unwanted disturbances. In the case of periodic disturbances, although the unknown disturbance frequencies may be the same from trial to trial, the disturbance amplitudes, phases, and biases do not necessarily repeat. Furthermore, the system may not return to the same initial state at the end of each trial before starting the next trial. In spite of these constraints, this paper shows how to identify the system disturbance-free dynamics from disturbance-corrupted input-output data collected over multiple trials without having to measure the disturbances directly. The system disturbance-free model can then be used to identify the disturbances as well, for use in learning or repetitive control. This paper represents the first extension of the interaction matrix approach to the multiple-trial environment of iterative learning control.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2003, 13, 2; 185-192
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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