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» Spatially Coherent Clustering Using Graph Cuts
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CVPR
2000
IEEE
14 years 2 days ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
11 years 10 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri
CVPR
2010
IEEE
13 years 10 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
ACISICIS
2007
IEEE
14 years 2 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
CVPR
2008
IEEE
13 years 7 months ago
Video segmentation: Propagation, validation and aggregation of a preceding graph
In this work, video segmentation is viewed as an efficient intra-frame grouping temporally reinforced by a strong inter-frame coherence. Traditional approaches simply regard pixel...
Siying Liu, Dong Guo, Chye Hwang Yan, Sim Heng Ong