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» Lower Bounds on the Size of Test Data Sets
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INFOVIS
2003
IEEE
14 years 1 months ago
Improving Hybrid MDS with Pivot-Based Searching
An algorithm is presented for the visualisation of multidimensional abstract data, building on a hybrid model introduced at InfoVis 2002. The most computationally complex stage of...
Alistair Morrison, Matthew Chalmers
SAC
2002
ACM
13 years 7 months ago
Choice of wavelet smoothness, primary resolution and threshold in wavelet shrinkage
This article introduces a fast cross-validation algorithm that performs wavelet shrinkage on data sets of arbitrary size and irregular design and also simultaneously selects good ...
Guy P. Nason
CVPR
2009
IEEE
15 years 2 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
ICANN
2005
Springer
14 years 1 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
CLEAR
2007
Springer
263views Biometrics» more  CLEAR 2007»
14 years 1 months ago
CLEAR'07 Evaluation of USC Human Tracking System for Surveillance Videos
This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based mu...
Bo Wu, Vivek Kumar Singh, C.-H. Kuo, Li Zhang, Sun...