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» Nonparametric color characterization using mean shift
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PAMI
2007
253views more  PAMI 2007»
13 years 5 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
CVPR
2007
IEEE
14 years 7 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
Frédo Durand, Sylvain Paris
MM
2004
ACM
212views Multimedia» more  MM 2004»
13 years 11 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
SSPR
1998
Springer
13 years 10 months ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
MFCS
2007
Springer
13 years 12 months ago
NP by Means of Lifts and Shadows
We show that every NP problem is polynomially equivalent to a simple combinatorial problem: the membership problem for a special class of digraphs. These classes are defined by me...
Gábor Kun, Jaroslav Nesetril