Talk:Segmentation-based object categorization

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Ncut

Latest comment: 14 years ago2 comments1 person in discussion

In the section "The Ncut algorithm" the value "D" is introduced without explanation. Also, none of the "figures" actually occur in the article.

Are arbitrary values allowed for the weights (similarity measures), or are they restricted to some range (non-negative, [0,1], ...)? It seems to me that negative weights can potentially invert the sign of some of the fraction denominators causing semantic havoc. Mspreitz (talk) 02:40, 11 April 2011 (UTC)Reply

The denominators beg the question of what is on the diagonal of the w matrix. Mspreitz (talk) 03:21, 11 April 2011 (UTC)Reply

Rename or merge with Segmentation (image processing)

Latest comment: 17 years ago1 comment1 person in discussion

The distinction between this article and Segmentation (image processing) appears unclear. What about either:

• Renaming this article into "Graph-based image segmentation" (or similar), to highlight the focus on graph-based methods, or ...
• Merge this article with Segmentation (image processing), since both deals with the same overall topic?

Any comments? --Fredrik Orderud (talk) 20:47, 24 August 2008 (UTC)Reply

Bipartitioning a graph with the eigenvector

Latest comment: 9 years ago2 comments2 people in discussion

How does one "use the eigenvector with the smallest eigenvalue to bipartition the graph"? Is there another article to which we could link that would provide those details? --76.27.96.159 (talk) 04:29, 10 December 2008 (UTC)Reply

Shi and Malik, 2000 advice to use the second smallest eigenvector to bipartition the graph — Preceding unsigned comment added by Cle003 (talk • contribs) 13:43, 4 May 2016 (UTC)Reply

Example

Latest comment: 14 years ago1 comment1 person in discussion

Hm, there is no "Figures 1-7" 129.27.201.116 (talk) —Preceding undated comment added 09:59, 13 December 2010 (UTC).Reply

Extention of NCut in 3D for object : Tonny, Z., Laurendeau, D., Giguere, P., Gagne, C., 2014. 3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation. Computer Graphics Theory and Applications (GRAPP), 2014 International Conference on, 1-9.

Application in transportation network partitionning