Semidefinite and Second Order Cone Programming Seminar
نویسندگان
چکیده
Image is represented by an undirected weighted graph G = (V, E) where vertices i ∈ V = {1, . . . , n} correspond to image features, and edges (i, j) ∈ E have weights w(i, j) : V × V 7→ R that reflect pairwise similarity between features. To segment an image, we wish to partition nodes V into two disjoint coherent sets S and S̄ = V \ S. This means that edges within the same set should have high weights, and edges between sets should have relatively low weights which results in a minimum weight cut problem. Let us denote W weighted adjacency matrix of a graph G:
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