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CVPR
2006
IEEE
16 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
NDJFL
2010
14 years 10 months ago
An Extension of van Lambalgen's Theorem to Infinitely Many Relative 1-Random Reals
Van Lambalgen's Theorem plays an important role in algorithmic randomness, especially when studying relative randomness. In this paper we extend van Lambalgen's Theorem ...
Kenshi Miyabe
BMVC
2002
15 years 6 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
IANDC
2010
87views more  IANDC 2010»
15 years 1 months ago
Effective symbolic dynamics, random points, statistical behavior, complexity and entropy
We consider the dynamical behavior of Martin-L
Stefano Galatolo, Mathieu Hoyrup, Cristobal Rojas
EMMCVPR
1999
Springer
15 years 8 months ago
Auxiliary Variables for Markov Random Fields with Higher Order Interactions
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Robin D. Morris