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» Accuracy of Techniques for the Logical Analysis of Data
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 11 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
ICIP
2005
IEEE
14 years 4 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...
TNN
2010
127views Management» more  TNN 2010»
13 years 5 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
FGR
2004
IEEE
143views Biometrics» more  FGR 2004»
14 years 2 months ago
Video-Rate Capture of Dynamic Face Shape and Appearance
This paper presents a system for simultaneous capture of video sequences of face shape and colour appearance. Shape capture uses a projected infra-red structured light pattern tog...
Ioannis A. Ypsilos, Adrian Hilton, Simon Rowe
CVPR
2009
IEEE
15 years 6 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li