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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 8 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
ICIP
2006
IEEE
14 years 9 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
14 years 1 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
ICPR
2008
IEEE
14 years 9 months ago
Audio-visual event classification via spatial-temporal-audio words
In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
Ming Li, Sanqing Hu, Shih-Hsi Liu, Sung Baang, Yu ...
CCGRID
2008
IEEE
13 years 9 months ago
Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems
Abstract--The current trend in high performance computing is to aggregate ever larger numbers of processing and interconnection elements in order to achieve desired levels of compu...
Jim M. Brandt, Bert J. Debusschere, Ann C. Gentile...