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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 1 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
ICIP
2004
IEEE
14 years 9 months ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 9 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
ISBI
2006
IEEE
14 years 8 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
CVPR
2011
IEEE
12 years 11 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe