Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 50
... vector associated with it . With every input the match with each weight vector is computed . Then the best matching weight vector and some of its topological neighbors are adjusted to match the input points a little better . Initially ...
... vector associated with it . With every input the match with each weight vector is computed . Then the best matching weight vector and some of its topological neighbors are adjusted to match the input points a little better . Initially ...
Page 341
... Vector Bishnu et al . [ 43 ] extended the above usage of Euler number to gray - tone images , by defining a vector of Euler numbers . This vector is called the Euler Vector . Intensity value of each pixel in an 8 - bit gray- tone image ...
... Vector Bishnu et al . [ 43 ] extended the above usage of Euler number to gray - tone images , by defining a vector of Euler numbers . This vector is called the Euler Vector . Intensity value of each pixel in an 8 - bit gray- tone image ...
Page 342
... vector of a gray - tone image is a 4 - tuple ( E7 , E6 , E5 , E4 ) , where E ; is the Euler number of the bit - plane formed with reflected gray codes g ; of all the pixels in the image . Gray code representation of intensity values ...
... vector of a gray - tone image is a 4 - tuple ( E7 , E6 , E5 , E4 ) , where E ; is the Euler number of the bit - plane formed with reflected gray codes g ; of all the pixels in the image . Gray code representation of intensity values ...
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