Normalized Cuts Are Approximately Inverse Exit Times
نویسندگان
چکیده
منابع مشابه
Normalized Cuts Are Approximately Inverse Exit Times
The Normalized Cut is a widely used measure of separation between clusters in a graph. In this paper we provide a novel probabilistic perspective on this measure. We show that for a partition of a graph into two weakly connected sets, V = A ⊎ B, in fact Ncut(V ) = 1/τA→B + 1/τB→A, where τA→B is the uni-directional characteristic exit time of a random walk from subset A to subset B. Using matrix...
متن کاملInverse Exit times ∗
Normalized cut is a widely used measure of separation between clusters in a graph. In this paper we provide a novel probabilistic perspective on this measure. We show that for a partition of a graph into two weakly connected sets, V = A B, the multiway normalized cut is approximately MNcut ≈ 1/τA→B + 1/τB→A, where τA→B is the unidirectional characteristic exit time of a random walk from subset ...
متن کاملNormalized Cuts and Image
We propose a novel approach for solving the perceptual grouping problem in vision. Rather than fo-cusing on local features and their consistencies in the image data, our approach aims at extracting the global impression of an image. We treat image segmenta-tion as a graph partitioning problem and propose a novel global criterion, the normalized cut, for segmenting the graph. The normalized cut ...
متن کاملNormalized Cuts and Image Segmentation
w e propose Q novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the amage data, our approach aims a t extracting the global impression of an image. We treat image segmentation QS (I graph partitioning problem and propose Q novel global criterion, the normalized cut, for segmenting the graph. The normalized cut...
متن کاملNormalized Cuts and Image Segmentation
Our project work includes the embedding of a normalized cuts algorithm and testing its application for image segmentation. Proposed solution minimizes a graph bi partitioning based on a modified cost function. Final result has a form of partition candidates based on a low-level image description. To increase the stability of the proposed method, algorithm has an iterative form. Computational co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SIAM Journal on Matrix Analysis and Applications
سال: 2013
ISSN: 0895-4798,1095-7162
DOI: 10.1137/110826928