Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 100
... Huffman coding In 1952 , D. A. Huffman [ 9 ] invented a coding technique to produce the shortest possible average code length , given the source symbol set and the associated probability of occurrence of the symbols . The Huffman coding ...
... Huffman coding In 1952 , D. A. Huffman [ 9 ] invented a coding technique to produce the shortest possible average code length , given the source symbol set and the associated probability of occurrence of the symbols . The Huffman coding ...
Page 102
... Huffman code of symbol h is " 110 , " formed by con- catenating the binary labels of the branches N14 to N13 , No13 to N11 and N11 to N7 . ) 11 Table 3.1 Huffman code table Symbol Probability Huffman code a 0.30 10 b 0.10 001 C 0.20 01 ...
... Huffman code of symbol h is " 110 , " formed by con- catenating the binary labels of the branches N14 to N13 , No13 to N11 and N11 to N7 . ) 11 Table 3.1 Huffman code table Symbol Probability Huffman code a 0.30 10 b 0.10 001 C 0.20 01 ...
Page 115
... Huffman code of the CATEGORY . This Huffman code is then appended with additional CATEGORY number of bits to represent the MAGNITUDE in VLI . If the prediction error value is positive , the MAGNITUDE is directly binary represented by a ...
... Huffman code of the CATEGORY . This Huffman code is then appended with additional CATEGORY number of bits to represent the MAGNITUDE in VLI . If the prediction error value is positive , the MAGNITUDE is directly binary represented by a ...
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