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» Combining concept hierarchies and statistical topic models
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WWW
2011
ACM
15 years 29 days ago
Geographical topic discovery and comparison
This paper studies the problem of discovering and comparing geographical topics from GPS-associated documents. GPSassociated documents become popular with the pervasiveness of loc...
Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang...
SMI
2005
IEEE
15 years 11 months ago
Maximizing Adaptivity in Hierarchical Topological Models
We present an approach to hierarchically encode the topology of functions over triangulated surfaces. We describe the topology of a function by its Morse-Smale complex, a well kno...
Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
EDOC
2006
IEEE
15 years 9 months ago
Combining Analysis of Unstructured Workflows with Transformation to Structured Workflows
Abstract-- Analysis of workflows in terms of structural correctness is important for ensuring the quality of workflow models. Typically, this analysis is only one step in a larger ...
Rainer Hauser, Michael Friess, Jochen Malte Kü...
MM
2005
ACM
172views Multimedia» more  MM 2005»
15 years 11 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 9 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao