Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 46
... domain . For example , consider the case of supervised classification . Here a pattern is characterized by a number of features , each taking up different weights in characterizing the classes . A multilayer perceptron in which the ...
... domain . For example , consider the case of supervised classification . Here a pattern is characterized by a number of features , each taking up different weights in characterizing the classes . A multilayer perceptron in which the ...
Page 59
... domain , which , in turn , may be induced by a given set of attributes ascribed to the objects of the domain . The lower approximation is the set of objects definitely belonging to the vague concept , whereas the up- per approximation ...
... domain , which , in turn , may be induced by a given set of attributes ascribed to the objects of the domain . The lower approximation is the set of objects definitely belonging to the vague concept , whereas the up- per approximation ...
Page 108
... domain to another domain ( usually frequency domain ) is to represent the data in a more compact form in the transformed domain . The optimum transformation also minimizes the mean squared error of the reconstructed image . The Karhunen ...
... domain to another domain ( usually frequency domain ) is to represent the data in a more compact form in the transformed domain . The optimum transformation also minimizes the mean squared error of the reconstructed image . The Karhunen ...
Contents
Soft Computing | 37 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
9 other sections not shown
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya Limited preview - 2005 |
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
applications approach association rules ATATA binary Bioinformatics Boyer-Moore algorithm C₁ categorical classification clustering coding coefficients color components computational complexity content-based image retrieval corresponding data compression data mining database dataset decision tree decoder defined dictionary distance document domain efficient encoder outputs entropy entropy encoding evaluation example extracted feature fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input integer involving JPEG Karp-Rabin knowledge discovery knowledge-based network learning length linguistic matching algorithms matrix measure method mismatch Mitra multimedia data neural networks neuro-fuzzy neurons objects occurrence optimal partition pattern matching pixel prediction prefix protein pruning quantization query represented result rough set sample Section sequence shown in Fig soft computing split statistical string matching structure substring suffix symbol Table techniques text mining transformed vector wavelet Web mining weights