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CVPR
2012
IEEE
11 years 10 months ago
Segmentation using superpixels: A bipartite graph partitioning approach
Grouping cues can affect the performance of segmentation greatly. In this paper, we show that superpixels (image segments) can provide powerful grouping cues to guide segmentation...
Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang
ICCV
2009
IEEE
15 years 13 days ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
CVIU
2008
113views more  CVIU 2008»
13 years 7 months ago
Indexing through laplacian spectra
With ever growing databases containing multimedia data, indexing has become a necessity to avoid a linear search. We propose a novel technique for indexing multimedia databases in...
M. Fatih Demirci, Reinier H. van Leuken, Remco C. ...
ICMLA
2009
13 years 5 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
UAI
2003
13 years 8 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey