An Efficient Method of Constructing L1-Type Norm Feature to Estimate Euclidean Distance for Fast Vector Quantization
6th, World automation congress; Image processing, biomedicine, multimedia, financial engineering and manufacturing: (WAC) IFMIP 2004 and ISOMA 2004 ; 2004 ; Seville, Spain
2004-01-01
6 pages
Includes bibliographic references and index.; Also contains a report on the 5th International Forum on Multimedia Image Processing and the 9th International Symposium on Manufacturing and Applications
Aufsatz (Konferenz)
Englisch
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Efficient Computation of the Euclidean Distance Transform
British Library Online Contents | 2000
|Learning Vector Quantization with Alternative Distance Criteria
British Library Conference Proceedings | 1999
|Fast Euclidean Distance Transformation by Propagation Using Multiple Neighborhoods
British Library Online Contents | 1999
|Image Compression Using Fast Transformed Vector Quantization
British Library Conference Proceedings | 2000
|Vector Quantization Based on Dynamic Adjustment of Mahalanobis Distance
British Library Conference Proceedings | 1996
|