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Therefore, it should be an important step in developing a system for automated perspective-independent object recognition.
      
Design and analysis of small-molecule antineoplastic agents targeting brain tumors by utilizing pattern recognition methods and
      
Another pattern recognition method known as non-metric multidimensional scaling discerned finer associations that fell within categorizations by low, moderate, and higher formula weight.
      
A recognition problem in converting linear programming to network flow models
      
These theorems give new methods in the recognition and the measure of smoothness of lines and curves.
      
1H-NMR spectroscopy and pattern recognition (PR) method were used to assess the acute biochemical effects of light rare earths.
      
Syntheses and metal ions recognition of dendritic calix[n]arenes (n = 6,8) amide derivative
      
The recognition properties of these amide derivatives for several kinds of metal ions were studied with UV-Vis spectroscopy.
      
Duration-Distribution-Based HMM for Speech Recognition
      
The speaker-independent continuous speech recognition experiments show that by only modeling the state duration in DDBHMM, a significant improvement (17.8% error rate reduction) can be achieved compared with the classical HMM.
      
Minimum squared error (MSE) algorithm is one of the classical pattern recognition and regression analysis methods, whose objective is to minimize the squared error summation between the output of linear function and the desired output.
      
Also, NQGA is applied in selecting the best feature subset from a large number of features in radar emitter signal recognition.
      
Orthogonal Wavelet Packet Analysis Based Chaos Recognition Method
      
A new orthogonal wavelet packet analysis-based chaos recognition method for chaotic motion characteristics is put forward.
      
A new feature extraction method using the amplitude fluctuation property of target HRRP for radar automatic target recognition
      
Due to the aspect sensitivity of high-resolution range profile (HRRP), traditional radar HRRP target recognition methods usually use average profile within some target-aspect region as the target-aspect template.
      
The experimental results based on measured data show that the new feature extraction method can greatly improve recognition performances.
      
Recognition of 3-D objects based on Markov random field models
      
The recognition of 3-D objects is quite a difficult task for computer vision systems.
      
Afterwards, a global similarity is calculated for object recognition.
      
 

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