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» A Graph Based Data Model for Graphics Interpretation
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CVPR
2004
IEEE
13 years 10 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
AGTIVE
2007
Springer
13 years 10 months ago
Domain Specific Languages with Graphical and Textual Views
We show our approach for the definition of Domain Specific Languages integrating both graphical and textual views. The approach is based on the meta-modelling concepts provided by ...
Francisco Pérez Andrés, Juan de Lara...
ECCV
2002
Springer
14 years 8 months ago
Audio-Video Sensor Fusion with Probabilistic Graphical Models
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
Matthew J. Beal, Hagai Attias, Nebojsa Jojic
CAIP
2009
Springer
117views Image Analysis» more  CAIP 2009»
14 years 1 months ago
A Hypergraph-Based Model for Graph Clustering: Application to Image Indexing
Abstract. In this paper, we introduce a prototype-based clustering algorithm dealing with graphs. We propose a hypergraph-based model for graph data sets by allowing clusters overl...
Salim Jouili, Salvatore Tabbone
CORR
2012
Springer
163views Education» more  CORR 2012»
12 years 2 months ago
The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
Michael P. Wellman, Lu Hong, Scott E. Page