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ECCV
2008
Springer
14 years 9 months ago
Quick Shift and Kernel Methods for Mode Seeking
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Andrea Vedaldi, Stefano Soatto
ANTS
2008
Springer
57views Algorithms» more  ANTS 2008»
13 years 9 months ago
Functorial Properties of Stark Units in Multiquadratic Extensions
Abstract. The goal of this paper is to present computations investigating the "functorial" properties of Stark units, that is, how specific roots of Stark units from cert...
Jonathan W. Sands, Brett A. Tangedal
ICPR
2010
IEEE
13 years 7 months ago
Improved Mean Shift Algorithm with Heterogeneous Node Weights
The conventional mean shift algorithm has been known to be sensitive to selecting a bandwidth. We present a robust mean shift algorithm with heterogeneous node weights that come f...
Ji Won Yoon, Simon P. Wilson
ECCV
2006
Springer
14 years 9 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
AUTOMATICA
2002
73views more  AUTOMATICA 2002»
13 years 7 months ago
Iterative learning control with initial rectifying action
This paper addresses the initial shift problem in iterative learning control with system relative degree. The tracking error caused by nonzero initial shift is detected when apply...
Mingxuan Sun, Danwei Wang