Examples of using The proposed method in English and their translations into Japanese
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Experiments on an actual machine verified the effectiveness of the proposed method.
The proposed method is characterized by precise matching and flexible subtraction of images.
The proposed method is based on the nested layer particle swarm optimization NLPSO.
Furthermore, we investigate suitable algorithm of the proposed method to improve fairness through simulations.
Experimental results for images fromMPEG7 shape database show the effectiveness of the proposed method.
Training procedures for the proposed method and the baseline network proceed as follows.
We generate character patterns with the embedded information anddiscuss the effectiveness of the proposed method.
From experimental results using digital cameras with high resolution and a camera phone,we demonstrate the effectiveness of the proposed method.
Also, we can use the proposed method for estimating the commuting time due to differences in weather conditions.
Extensive evaluations on iris data from multiple sensors demonstrate that the proposed method leads to considerable improvement in cross sensor recognition accuracy.
The proposed method achieves the small additional circuit and time complexity compared with naive techniques.
We also showed in our studies that the proposed method is generic and can be used for models with various structures.
The proposed method, shown in Figure 4, allows for testing and setting of the output power level in a production environment.
In the proposed method, additional features are introduced to realize real-time retrieval for document images in various languages.
Experimental results show that the proposed method significantly improves Japanese FG-NER performance(F-score) from 66.75% to 75.18%.
The proposed method estimates the position of the mirror by observing pairs of parallel lights, which are projected from various directions.
Fans will be disappointed in the proposed method, because these figures are not taken from the ceiling- each is based on years of experience, and it is necessary to follow them clearly.
Thus, in the proposed method, it is possible to combine diagnostics and treatment in one procedure, increasing their accuracy and efficiency.
The proposed method achieves 100% template level fault efficiency in a sense that the proposed method completely resolves the problem of error masking.
The proposed method makes it possible to obtain a high yield in a predetermined zone, to lower the crown, and to rationalize the use of the territory.
The proposed method is applicable in the treatment of a number of diseases and is especially effective in pathology in the form of lesions of several organs or systems without pronounced organic changes.
The proposed method, as in imphash, calculates values from Import API, however, it also uses Fuzzy Hashing to calculate hash values of Import API, in order to supplement the shortcomings of imphash.
Experimental results show that the proposed method not only performs good for detecting printed copies of line drawings, but also has effectiveness on the detection of handwritten ones, even if partial copies are embedded in complex backgrounds.
By applying and analyzing the proposed method for each route, it is possible to estimate the influence of the change of the weather condition on the decrease of the traffic speed of the snow road with high accuracy.
In the proposed method, the information gathering system is developed over DTN by considering the density distribution of people in the target areas and the communication situation of wireless networks that might vary every minute.