Search results for key=MSP1996 : 1 match found.

1996

• @inproceedings{MSP1996,
  	vgclass =	{refpap},
  	vgproject =	{viper,cbir},
  	author =	{Ruggero Milanese and David McG. Squire and Thierry Pun},
  	title =	{Correspondence Analysis and Hierarchical Indexing For
  	Content-Based Image Retrieval},
  	editor =	{P. Delogne},
  	booktitle =	{IEEE International Conference on Image Processing},
  	address =	{Lausanne, Switzerland},
  	volume =	{3},
  	pages =	{859--862},
  	month =	{September},
  	year =	{1996},
  	doi =	{https://doi.org/10.1109/ICIP.1996.560891},
  	url =	{/publications/postscript/1996/MSP96_icip_paper.pdf},
  	url1 =	{/publications/postscript/1996/MSP96_icip_paper.ps.gz},
  	abstract =	{This paper describes a two-stage statistical approach
  	supporting content-based search in image databases. The first stage
  	performs correspondence analysis, a factor analysis method transforming
  	image attributes into a reduced-size, uncorrelated factor space. The
  	second stage performs ascendant hierarchical classification, an
  	iterative clustering method which constructs a hierarchical index
  	structure for the images of the database. Experimental results
  	supporting the applicability of both techniques to data sets of
  	heterogeneous images are reported.},
  }