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» Combining concept hierarchies and statistical topic models
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WWW
2011
ACM
14 years 6 months 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 5 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 3 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 5 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 3 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