Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 231
... feature variable . Two symbolic objects A and B are written as the Cartesian product of features Ak and Bk , represented by A = A1 × × An and B = B1 x x Bn . Let Ok denote the domain of the kth feature . Then the feature space can be ...
... feature variable . Two symbolic objects A and B are written as the Cartesian product of features Ak and Bk , represented by A = A1 × × An and B = B1 x x Bn . Let Ok denote the domain of the kth feature . Then the feature space can be ...
Page 331
... Feature Similarity Image Extraction Measure Retrieved Image ( s ) Fig . 9.2 Architecture of a Content Based Image Retrieval System . multidimensional space . As an example , an image can be represented by an N - dimensional feature ...
... Feature Similarity Image Extraction Measure Retrieved Image ( s ) Fig . 9.2 Architecture of a Content Based Image Retrieval System . multidimensional space . As an example , an image can be represented by an N - dimensional feature ...
Page 349
... features or feature vectors defines an object of interest to the user . We can apply similar feature extraction techniques and generate index structures for the key frames using the feature vectors , as described for content - based ...
... features or feature vectors defines an object of interest to the user . We can apply similar feature extraction techniques and generate index structures for the key frames using the feature vectors , as described for content - based ...
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