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Chemical feature based pharmacophoric alignments were used to develop models using different fields viz.
      
The main feature of the method in this paper is that the surface so constructed is polynomial, which makes the construction simple and the calculation easy.
      
Also, NQGA is applied in selecting the best feature subset from a large number of features in radar emitter signal recognition.
      
The testing and experimental results of feature selection show that NQGA presents good search capability, rapid convergence, short computing time, and ability to avoid premature convergence effectively.
      
A new feature extraction method using the amplitude fluctuation property of target HRRP for radar automatic target recognition
      
Actually, the amplitude fluctuation property of target HRRP also represents some feature information of the target.
      
Based on the scattering center model, a new feature extraction method using the amplitude fluctuation property of target HRRP is proposed in this paper.
      
The weighted HRRP feature extracted by the new method can represent the scatterer distribution in every range cell, thereby it can describe the scattering property of the target better.
      
The experimental results based on measured data show that the new feature extraction method can greatly improve recognition performances.
      
After feature tagging they are used to train the maximum entropy model.
      
Utilizing the feature of quick response of HVDC to improve the performance of AC/DC system has become the emphasis to be researched.
      
Meanwhile, data-driven linear transformation is adopted in visual feature extraction, and a general statistical VAD model is designed.
      
An image-tracking algorithm based on object center distance-weighting and image feature recognition
      
It identifies the target's location by the mean-shift iteration method and arrives at the target's scale by using image feature recognition.
      
This paper describes a multi-density feature based algorithm for binary document images, which is independent of OCR or layout analyses.
      
A feature extraction method for the signal sorting of interleaved radar pulse serial
      
In this paper, a new feature extraction method for radar pulse sequences is presented based on structure function and empirical mode decomposition.
      
In this method, 2-D feature information was constituted by using radio frequency and time-of-arrival, which analyzed the feature of radar pulse sequences for the very first time by employing structure function and empirical mode decomposition.
      
The experiment shows that the method can efficiently extract the frequency of a period-change radio frequency signal in a complex pulses environment and reveals a new feature for the signal sorting of interleaved radar pulse serial.
      
This paper provides a novel way for extracting the new sorting feature of radar signals.
      
 

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