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» Iterated importance sampling in missing data problems
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CGF
2008
148views more  CGF 2008»
14 years 11 months ago
Automatic Registration for Articulated Shapes
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
Will Chang, Matthias Zwicker
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 5 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
136
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BMCBI
2011
14 years 6 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
15 years 11 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
93
Voted
SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
13 years 1 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic