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CVPR
2008
IEEE
15 years 26 days ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
14 years 8 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
IEAAIE
2010
Springer
13 years 8 months ago
Hierarchical Topic-Based Communities Construction for Authors in a Literature Database
In this paper, given a set of research papers with only title and author information, a mining strategy is proposed to discover and organize the communities of authors according to...
Chien-Liang Wu, Jia-Ling Koh
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 9 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
PVLDB
2008
124views more  PVLDB 2008»
13 years 10 months ago
DBPubs: multidimensional exploration of database publications
DBPubs is a system for effectively analyzing and exploring the content of database publications by combining keyword search with OLAP-style aggregations, navigation, and reporting...
Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik N...