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CVPR
2008
IEEE
15 years 12 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ICPR
2000
IEEE
15 years 11 months ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo
ICDAR
2007
IEEE
15 years 4 months ago
Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation
We model on-line ink traces for a set of 219 symbols to “best fit” low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cas...
Bruce W. Char, Stephen M. Watt
IPPS
2003
IEEE
15 years 3 months ago
The Maximal Utilization of Processor Co-Allocation in Multicluster Systems
In systems consisting of multiple clusters of processors which employ space sharing for scheduling jobs, such as our Distributed ASCI1 Supercomputer (DAS), coallocation, i.e., the...
Anca I. D. Bucur, Dick H. J. Epema
ACCV
2009
Springer
15 years 4 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