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VLDB
2007
ACM
139views Database» more  VLDB 2007»
15 years 4 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
Mingxi Wu, Chris Jermaine
ICNC
2005
Springer
15 years 3 months ago
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
Zhengxing Sun, Lisha Zhang, Enyi Tang
GECCO
2003
Springer
191views Optimization» more  GECCO 2003»
15 years 3 months ago
Artificial Immune System for Classification of Gene Expression Data
DNA microarray experiments generate thousands of gene expression measurement simultaneously. Analyzing the difference of gene expression in cell and tissue samples is useful in dia...
Shin Ando, Hitoshi Iba
ECCV
2002
Springer
15 years 11 months ago
Bayesian Self-Calibration of a Moving Camera
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
Gang Qian, Rama Chellappa
ICIP
2000
IEEE
15 years 11 months ago
A Spectral Analysis for Light Field Rendering
Image based rendering using the plenoptic function is an efficient technique for re-rendering at different viewpoints. In this paper, we study the sampling and reconstruction prob...
Shing-Chow Chan, Heung-Yeung Shum