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PAMI
2007
253views more  PAMI 2007»
13 years 4 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
2006
IEEE
14 years 6 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
14 years 22 days ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
ACCV
2009
Springer
13 years 11 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
ECCV
2006
Springer
14 years 6 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang