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- Bhattacharyya distance. calc_stats. Calculates Gaussian statistics for image data. covariance. Calculates image data covariance. cov_avg. Calculates covariance averaged over a set of ground truth classes. noise_from_diffs. Estimate image noise statistics from a homogeneous region. orthogonalize. Performs Gram-Schmidt orthogonalization on a set ...
- This function attempts to determine the associated file type and open the file. If the specified file is not found in the current directory, all directories listed in the SPECTRAL_DATA environment variable will be searched until the file is found. If the file being opened is an ENVI file, the file argument should be the name of the header file.
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- is the distance between the vector x = [ x1 x2] and the zero vector 0 = [ 0 0 ] with coordinates all zero: 2 2 dx,0 =x1 +x2 (4.3) which we could just denote by dx . The zero vector is called the origin of the space. Exhibit 4.3 Pythagoras' theorem extended into three dimensional space 1

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- In information retrieval and machine learning, a good number of techniques utilize the similarity/distance measures to perform many different tasks [].Clustering and classification are the most widely-used techniques for the task of knowledge discovery within the scientific fields [2,3,4,5,6,7,8,9,10].On the other hand, text classification and clustering have long been vital research areas of ...
- The Basics of Computer Vision using Python Certification Course is a 3-month long course that discusses the advanced concepts and techniques of computer vision which is a combination of deep learning and machine learning concepts.. Through the Basics of Computer Vision using Python Training Course, learners will be introduced to various terminologies and applications of computer vision using ...
- Patients present with signs (what the physician finds on examination) and symptoms (patient complaints). We group signs and symptoms under the more general term findings [].Distance metrics play an important role in advancing precision medicine, machine learning, and patient phenotyping [2,3,4,5,6,7,8,9,10,11,12].Patient distances can be calculated based on findings that have been converted to ...
- Bhattacharyya distance measures the similarity of two discrete or continuous probability distributions. When the distance is less, the two regions are merged to form a single segment. This merging can be repeated several times if the images has high over-segmentation.

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