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» Simulation Optimization: Methods and Applications
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ECCV
2002
Springer
16 years 4 months ago
A Markov Chain Monte Carlo Approach to Stereovision
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Julien Sénégas
ICDE
2007
IEEE
117views Database» more  ICDE 2007»
16 years 4 months ago
Cost-Conscious Cleaning of Massive RFID Data Sets
Efficient and accurate data cleaning is an essential task for the successful deployment of RFID systems. Although important advances have been made in tag detection rates, it is s...
Hector Gonzalez, Jiawei Han, Xuehua Shen
ISCAS
2008
IEEE
106views Hardware» more  ISCAS 2008»
15 years 9 months ago
Hilbert transformers with a piecewise-polynomial-sinusoidal impulse response
— Hilbert transformers are one of the very important special classes of finite impulse response (FIR) filters used in signal processing applications. A method is presented to s...
Raija Lehto, Tapio Saramäki, Olli Vainio
AIME
2007
Springer
15 years 9 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
PR
2008
129views more  PR 2008»
15 years 2 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park