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PAMI
2010
146views more  PAMI 2010»
14 years 10 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
ICANN
2009
Springer
15 years 4 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
CASCON
1996
118views Education» more  CASCON 1996»
15 years 1 months ago
On predicting reliability of modules using code coverage
The estimation of reliability of modules using code coverage is motivated by a two-phase method for estimating the quality of software using static structure and predicted quality...
Saileshwar Krishnamurthy, Aditya P. Mathur
CVPR
2004
IEEE
16 years 1 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICASSP
2011
IEEE
14 years 3 months ago
Sequential Monte Carlo method for parameter estimation in diffusion models of affinity-based biosensors
Estimation of the amounts of target molecules in realtime affinity-based biosensors is studied. The problem is mapped to inferring the parameters of a temporally sampled diffusio...
Manohar Shamaiah, Xiaohu Shen, Haris Vikalo