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Material Type: Project; Class: GLOBAL WARMING; Subject: Geography; University: University of California - Santa Barbara; Term: Unknown 2000;
Typology: Study Guides, Projects, Research
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n Introduction
n Graph Partitioning
n Grouping Algorithm
n Experiments
n Results
n Related Approaches
n Conclusion
n Dissimilarity measure between two sets of
graph G=(V, E),
n Minimum cut Optimal bi-partitioning
n Clustering method (Wu, Leathy, PAMI
n Different cost function proposed:
,
u A v B
∈ ∈
= (^) ∑
,
( , ) ( , )
u A t V
asso A V w u t
∈ ∈
= (^) ∑
i (^) j
n Use spatial proximity term and feature similarity terms to
calculate weighted coefficients W(i,j)
n Summarize information in W and D
n Find an approximate solution for the second smallest
eigenvalue of the system
n Bipartition the graph by finding the best splitting point
n Check the stability of the cut and decide on the current
partition status
n Stop the recursion if Ncut exceeds certain limit
( D − W y ) = λDy
2
( , ) ,
F F X X
i j
W i j e e X X r
σ σ
− − − −
= ∗ − <
1
( ), intensity
( ) , sin( ), cos( ),color
* ,..., * , texture n
I i
F i v v s h v s h i
I f I f i
=
g g g g
5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20 5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20 5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20
5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20
5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20 5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20
5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20 5 10 15 20 25 30
2 4 6 8 10 12 14 16 18 20
5 10 15 20 25 30
2
4
6
8
10
12
14
16
5 10 15 20 25 30
2
4
6
8
10
12
14
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