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» A framework for visual data mining of structures
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CVPR
2009
IEEE
15 years 3 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 3 months ago
Expansion segmentation for visual collision detection and estimation
Abstract— Collision detection and estimation from a monocular visual sensor is an important enabling technology for safe navigation of small or micro air vehicles in near earth ï...
Jeffrey Byrne, Camillo J. Taylor
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 2 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar
IV
2003
IEEE
183views Visualization» more  IV 2003»
14 years 1 months ago
Visualisation of RDF(S)-based Information
As Resource Description Framework (RDF) reaches maturity, there is an increasing need for tools that support it. A common and natural representation for RDF data is a directed lab...
Alexandru Telea, Flavius Frasincar, Geert-Jan Houb...
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
14 years 7 days ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...