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» A Hierarchical Latent Variable Model for Data Visualization
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ICASSP
2011
IEEE
13 years 15 days ago
Covariate-dependent dictionary learning and sparse coding
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, Dav...
CSDA
2008
91views more  CSDA 2008»
13 years 8 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...
CIKM
2008
Springer
13 years 10 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
VISSYM
2004
13 years 10 months ago
A Botanically Inspired High-Dimensional Visualization with Multivariate Glyphs
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...
Eleanor Boyle Chlan, Penny Rheingans
VIS
2007
IEEE
128views Visualization» more  VIS 2007»
14 years 10 months ago
Modeling Perceptual Dominance Among Visual Cues in Multilayered Icon-based Scientific Visualizations
ization method is an abstract function that transforms a scientific dataset into a visual representation to facilitate data exploration. In turn, a visualization display is the vis...
Daniel Acevedo, Jian Chen, David H. Laidlaw